2018-19 CATALOG [ARCHIVED CATALOG]
Course Descriptions
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Course Numbering System
The first digit in each course designation is intended to indicate the level of the course. In addition, the first digit also roughly indexes the student’s year of study at the University.
Courses numbered 001 to 099 are non-baccalaureate developmental courses.
Courses numbered 100 to 299 are lower-division.
Courses numbered 300 to 499 are upper-division.
Courses numbered 500 to 599 are graduate level, and may be taken by advanced upper-division, post-baccalaureate, or graduate students for undergraduate or graduate credit.
Courses numbered 600 to 699 are graduate level. These courses may be taken by undergraduate students only on an individual basis, and only with prior, case-by-case approval of the program director of the program offering the course (or his/her designee).
Courses numbered 700 to 799 are doctoral level.
Courses numbered 1000 and above not listed in this catalog because these are professional-level courses carrying University credit, which do not typically apply to credentials or degrees offered by the University. These courses are recorded on student transcripts.
Students should consult relevant sections of this catalog, as well as college and program advising staff, in order to determine which courses are appropriate for their level of study, and which courses satisfy degree requirements for various programs of study.
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Master in Cybersecurity |
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MCS 680A - Semester in Residence Project Writing Workshop Units: 1
Provides tools and a focused pathway to develop and complete their Semester in Residence Project. May not be repeated. Enrollment Restrictions: Enrollment is restricted to students who have been admitted to the Master of Cybersecurity Program.
Prerequisite(s): MGMT 521 , MIS 522 , MCS 510 , MCS 511 , MCS 512 .
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MCS 680B - Internship/Semester in Residence/Project Units: 4
Provides industry experience in the Cybersecurity field under the guidance of a graduate committee consisting of a faculty member, an industry representative and the Program Director. Leads to establishing/accomplishing goals, communicating work/project progress, acquiring broad organizational insight and demonstrating core competencies required for the degree. Culminates in a written project document and an oral presentation to fellow students, faculty and industry representatives. Enrollment Restrictions: Enrollment is restricted to students who have been admitted to the Master of Cybersecurity Program.
Prerequisite(s): MCS 680A .
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MCS 697A - Directed Studies Units: 1
Industrial or Academic research directed or sponsored by Industry and a PSM faculty. Units may be applied to the required units for the Master’s degree. May be repeated one time for the total of eight (8) units. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment restricted to students who have obtained consent of instructor. Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity Program.
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MCS 697B - Directed Studies Units: 2
Industrial or Academic research directed or sponsored by Industry and a PSM faculty. Units may be applied to the required units for the Master’s degree. May be repeated one time for the total of eight (8) units. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment restricted to students who have obtained consent of instructor. Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity Program.
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MCS 697C - Directed Studies Units: 3
Industrial or Academic research directed or sponsored by Industry and a PSM faculty. Units may be applied to the required units for the Master’s degree. May be repeated one time for the total of eight (8) units. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment restricted to students who have obtained consent of instructor. Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity Program.
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MCS 697D - Directed Studies Units: 4
Industrial or Academic research directed or sponsored by Industry and a PSM faculty. Units may be applied to the required units for the Master’s degree. May be repeated one time for the total of eight (8) units. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment restricted to students who have obtained consent of instructor. Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity Program.
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MCS 697E - Directed Studies Units: 5
Industrial or Academic research directed or sponsored by Industry and a PSM faculty. Units may be applied to the required units for the Master’s degree. May be repeated one time for the total of eight (8) units. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment restricted to students who have obtained consent of instructor. Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity Program.
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MCS 697F - Directed Studies Units: 6
Industrial or Academic research directed or sponsored by Industry and a PSM faculty. Units may be applied to the required units for the Master’s degree. May be repeated one time for the total of eight (8) units. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment restricted to students who have obtained consent of instructor. Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity Program.
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MCS 699A - Semester-in-Residence Project Extension Units: 1
Extension of MCS 680B . May not be repeated more than two times. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity program and have obtained consent of the Program Director. Enrollment Requirements: Enrollment Requirement: prior registration in MCS 680B with an assigned grade of Report in Progress (RP). Units may not be applied to the required units for the Master’s degree.
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MCS 699B - Semester-in-Residence Project Extension Units: 2
Extension of MCS 680B . May not be repeated more than two times. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity program and have obtained consent of the Program Director. Enrollment Requirements: Enrollment Requirement: prior registration in MCS 680B with an assigned grade of Report in Progress (RP). Units may not be applied to the required units for the Master’s degree.
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MCS 699C - Semester-in-Residence Project Extension Units: 3
Extension of MCS 680B . May not be repeated more than two times. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity program and have obtained consent of the Program Director. Enrollment Requirements: Enrollment Requirement: prior registration in MCS 680B with an assigned grade of Report in Progress (RP). Units may not be applied to the required units for the Master’s degree.
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MCS 699D - Semester-in-Residence Project Extension Units: 4
Extension of MCS 680B . May not be repeated more than two times. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity program and have obtained consent of the Program Director. Enrollment Requirements: Enrollment Requirement: prior registration in MCS 680B with an assigned grade of Report in Progress (RP). Units may not be applied to the required units for the Master’s degree.
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MCS 699E - Semester-in-Residence Project Extension Units: 5
Extension of MCS 680B . May not be repeated more than two times. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity program and have obtained consent of the Program Director. Enrollment Requirements: Enrollment Requirement: prior registration in MCS 680B with an assigned grade of Report in Progress (RP). Units may not be applied to the required units for the Master’s degree.
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MCS 699F - Semester-in-Residence Project Extension Units: 6
Extension of MCS 680B . May not be repeated more than two times. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment is restricted to students who have been admitted to the Master of Science in Cybersecurity program and have obtained consent of the Program Director. Enrollment Requirements: Enrollment Requirement: prior registration in MCS 680B with an assigned grade of Report in Progress (RP). Units may not be applied to the required units for the Master’s degree.
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Master of Social Work |
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MSW 500 - Foundations of Social Work Units: 3
Understanding the mission and purpose of social work practice, social justice and diversity, ethical foundations for the profession, and emerging themes and models of resiliency-informed practice. Includes communication and engagement skills, generalist practice principles, and the specific roles in professional practice.
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MSW 501 - Human Behavior and the Social Environment Units: 3
Addresses human development across the lifespan. Explores multiple theoretical perspectives, including psychodynamic, cognitive, psychosocial, systems, biosocial, and ecological theories. Emphasizes the application of these theories to social work practice. Investigates the impact of human diversity and the social environment on lifespan development.
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MSW 510 - Generalist Practice I: Individuals Units: 3
Addresses generalist social work practice with diverse individuals within a person-in-environment perspective. Emphasizes core social work knowledge, values and skills within the context of evidence-informed engagement, assessment, intervention, and evaluation.
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MSW 511 - Generalist Practice II: Families and Groups Units: 3
Addresses generalist social work practice with diverse families and groups within a person-in-environment perspective. Emphasizes core social work knowledge, values, and skills within the context of evidence-informed engagement, assessment, intervention, and evaluation.
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MSW 512 - Generalist Practice III: Organizations and Communities Units: 3
Social work intervention in organizational and community practice. Knowledge and skills in working with organizations and communities to promote social and economic justice, sustainable services and programs, and evidence-based practice.
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MSW 520 - Social Welfare Policy Units: 3
Examines social welfare policies and services in the United States; diverse social, political, and economic assumptions underlying the social welfare system, including global context; and the role of the social work profession in developing social policy, addressing social problems, and advancing social and economic justice.
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MSW 525 - Law and Ethics in Social Work Units: 3
Examines social work ethics, values, and related laws within a framework of culturally informed social work practice and social justice. Emphasizes the knowledge and skills social workers need in order to effectively work within the social service and legal systems on behalf of clients and constituents.
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MSW 540 - Field Instruction I Units: 3
First course of a foundation two-semester sequence. Supervised practice in a social services or related agency developing basic micro, mezzo, and macro skills with an emphasis on culturally informed social work practice. Field seminar and 16 hours weekly supervised agency field experience. Grading Basis: Graded Credit/ No Credit.
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MSW 541 - Field Instruction II Units: 3
Second course of a foundation two-semester sequence. Supervised practice in a social services or related agency developing basic micro, mezzo, and macro skills with an emphasis on culturally informed social work practice. Field seminar and 16 hours weekly supervised agency field experience. Grading Basis: Graded Credit/ No Credit.
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MSW 550 - Research Methods in Social Work Units: 3
Introduction to research methods in social work and the critical appraisal of empirical research. Explores quantitative, qualitative, mixed research methods, and ethical issues in the conduct of research. Primarily focuses on foundational research knowledge and skills fundamental to evidence-based practice in social work.
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MSW 599A - Independent Study in Social Work Units: 1
Students actively engage in intensive and independent study of a special area in social work or social welfare. Grading Basis: Credit/No Credit.
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MSW 599B - Independent Study in Social Work Units: 2
Students actively engage in intensive and independent study of a special area in social work or social welfare.
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MSW 599C - Independent Study in Social Work Units: 3
Students actively engage in intensive and independent study of a special area in social work or social welfare.
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MSW 602 - Clinical Assessment and Evidence Based Treatment Units: 3
Explores the most common mental disorders and evidence-informed treatments encountered in social work practice. Applies the Diagnostic and Statistical Manual of Mental Disorders and examines evidence-informed treatments with diverse populations. Emphasizes strengths and ecological systems perspectives, risk and resiliency factors, and the impact of biological, psychological, cultural and other factors.
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MSW 629 - Trauma and Addiction Units: 3
Explores the multi-systemic impact of trauma and substance use on individuals, families, and communities. Emphasizes the treatment of trauma and substance use across the lifespan with diverse populations utilizing trauma-informed approaches, including Motivational Interviewing and cognitive behavioral interventions.
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MSW 630A - Advanced Direct Practice I: Individuals/CYF Units: 3
Direct practice with children, youth, and families, related to individual functioning and interpersonal interactions. Various theoretical approaches. Ecological systems framework with additional focus on multicultural issues.
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MSW 630B - Advanced Direct Practice I: Individuals/BH Units: 3
Direct practice course for working with individuals in behavioral health settings. Various theoretical approaches. Emphasis on the recovery paradigm in mental health services. Additional focus on multicultural issues.
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MSW 631A - Advanced Direct Practice II: Groups and Families/CYF Units: 3
Direct practice skills for working with individuals, families, and groups in children, youth, and families settings. Family and group theoretical approaches. Assessments and interventions with an emphasis on cultural competency.
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MSW 631B - Advanced Direct Practice II: Groups and Families BH Units: 3
Direct practice skills for working with individuals, families, and groups in behavioral health settings. Family and group theoretical approaches. Assessments and interventions with an emphasis on cultural competency.
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MSW 635A - Advanced Policy: CYF Units: 3
Social welfare policy for children, youth, and families in the U.S. Children’s policies in mental health, education, and juvenile justice. Specific focus on policies in child welfare, inclusive of permanency planning, kinship care, and family preservation.
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MSW 635B - Advanced Policy: BH Units: 3
Development of mental health policy in the U.S., and its relationship to the delivery of mental health services for various populations across the life span. Focus on diversity issues in mental health policy.
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MSW 636 - Policy and Administration Units: 3
Explores policy, administrative, and management practices necessary for advocacy in social service organizations and larger communities. Further examines perspectives on social problems, approaches to the development and analysis of social welfare policies, and the structure of policy-making and implementation process for policy advocacy.
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MSW 642 - Advanced Field Instruction I Units: 3
First course of a two-semester advanced field practicum with an emphasis on culturally informed advanced social work practice. Supervised practice in a social services or related agency developing advanced social work skills. Field seminar and 20 hours of weekly supervised agency field experience. Grading Basis: Credit/No Credit.
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MSW 643 - Advanced Field Instruction II Units: 3
Second course of a two-semester advanced field practicum with an emphasis on culturally informed advanced social work practice. Supervised practice in a social services or related agency developing advanced social work skills. Field seminar and 20 hours of weekly supervised agency field experience. Grading Basis: Graded Credit/ No Credit.
Prerequisite(s): MSW 642 .
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MSW 650 - Program Evaluation and Research Methods Units: 3
Development of quantitative and qualitative research skills for evaluation and enhancement of social work practice. Emphasizes research designs, practice evaluation, program evaluation, grant writing, and basic statistics.
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MSW 655 - Social Work Leadership Practice Units: 3
Applies program design, strategic planning, problem solving, human resources, supervision, administration, resource development, budgeting, quality assurance, and public relations in social work leadership practice. Examines theories of organizational behavior and management. Impact of diversity issues within organizations.
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MSW 656 - Motivational Interviewing Units: 3
Explores Motivational Interviewing as a research informed intervention with individuals, groups, and families. Emphasizes the implementation of the knowledge and skills involved in this approach with diverse populations and in various practice settings.
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MSW 661 - Social Work in Health Care Units: 3
Roles and responsibilities of social workers as part of an interdisciplinary health care team. Culturally competent social work in acute, ambulatory, preventive, long-term, and palliative care settings. Ethical dilemmas in social work in health care.
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MSW 662 - Social Work with Older Adults Units: 3
Examines an ecosystemic and culturally informed approach to the biological, cultural, ethnic, gender, geographic, psychological, and social issues of relevance to older adults. Explores theories on aging and assessments and interventions in social work with older adult populations.
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MSW 667 - Addictions: Assessment and Treatment Units: 3
Survey of various addictions, alcohol use, and substance use. Assessment and treatment issues across the lifespan and with diverse populations. Clinical, ethical, legal, and policy issues. Emphasis on strengths-based, multicultural practice.
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MSW 670 - Cognitive and Brief Therapies Units: 3
Cognitive and brief treatment approaches, including cognitive behavior therapy, solution focused therapy, and narrative therapy. Evidence-based treatment applications. Assessment and intervention issues across the life span. Integrating diversity considerations within a strengths-based perspective in social work practice.
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MSW 671 - Direct Practice with Military and Veteran Families Units: 3
Develops advanced practice social work skills for treating the emotional, social, and spiritual needs of diverse military and veteran couples and families. Emphasis is on supporting resilience through treatment, case management, advocacy, empowerment, and resources.
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MSW 672 - Direct Practice with Military Personnel and Veterans Units: 3
Develops advanced practice social work skills in providing evidence-based psychotherapy to active duty military personnel and veterans experiencing bio-psycho-social and spiritual challenges. Emphasis is on strength, resilience, and community-based models in addition to traditional clinical treatment approaches.
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MSW 690 - Selected Topics in Social Work Units: 1-3
Various topics of special interest in social work. May be repeated for credit as topics change for a total of six 6 units.
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MSW 695 - Thesis I Units: 3
Under the guidance of a thesis advisor, complete a thesis proposal and literature review for a research study that will have a positive contribution to the field of social work. Prepare instruments and IRB protocol as applicable. Grading Basis: Graded Credit/ No Credit.
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MSW 698 - Culminating Experience / Thesis II Units: 3
Completion of a comprehensive exam or research thesis as the culminating experience in the MSW program. Under the guidance of an advisor, complete an exam or thesis. This exam or thesis will be informed by social work core competencies. Grading Basis: Graded Credit/No Credit.
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MSW 698A - Culminating Experience: Comprehensive Exam Units: 3
Completion of a comprehensive exam as the culminating experience in the MSW program. Applies learning activities focused on social work competencies to enhance professional practice and to prepare for the comprehensive exam.
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MSW 698B - Culminating Experience: Thesis II Units: 3
Completion of a thesis as the culminating experience in the MSW program. Under the guidance of a thesis advisor, complete a thesis informed by social work core competencies. Grading Basis: Credit/No Credit. Enrollment Restrictions: Enrollment restricted to students enrolled in the Master of Social Work program.
Prerequisite(s)/Corequisite(s): MSW 695 .
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MSW 699 - Culminating Experience/Thesis Extension Units: 1
Culminating experience continuation for students who require additional time. May be repeated. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment restricted to students with a grade of Report in Progress (RP) in MSW 698 .
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Mathematics |
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MATH 001 - Support for Quantitative Reasoning Units: 1
Fundamental mathematical skills needed for success in MATH 101 (Quantitative Reasoning). Includes operations with fractions, decimals and percents, and comparing and converting these; working with variables and translating verbal expressions into variable expressions; solutions to linear equations; graphing functions in the coordinate plane; exponents; and square roots.
Note: Math 001 does not count toward any graduation requirement to be completed at CSUSM, but it is counted in determining financial aid and VA benefits.
Note: Students who matriculated prior to Fall 2018 and who have not completed the Entry Level Mathematics (ELM) requirement, and students matriculating in Fall 2018 or later who are in the Mathematics/Quantitative Reasoning Placement Categories III and IV are required to co-enroll in MATH 001 as a registration condition for MATH 101 . Students who matriculated prior to Fall 2018 and who have completed the Entry Level Mathematics (ELM) requirement, and students matriculating in Fall 2018 or later who are in the Mathematics/Quantitative Reasoning Placement Categories I and II may take MATH 101 without also enrolling in MATH 001. Grading Basis: Credit / No Credit.
Corequisite(s): MATH 101 .
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MATH 10 - Pre-Algebra Units: 3
Review of the properties of natural numbers and integers, including prime factorization. Introduction to the language of Algebra: translating between word phrases and algebraic expressions, evaluating algebraic expressions, and estimating the value of an algebraic expression. Includes working with fractions, including fractions with variable expressions in the numerator and denominator, ratios, proportions, and percent as well as their use in solving common applied problems. Concludes with the interpretation of graphs and calculation of elementary statistical measures. Note: MATH 10 does not count toward any graduation requirement to be completed at CSUSM, but it is counted towards financial aid and VA benefits. Enrollment Restrictions: Enrollment restricted to students who have not satisfied the Entry Level Mathematics (ELM) requirement and whose highest ELM examination score is below 30. Students who have satisfied the ELM requirement may not enroll.
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MATH 20 - Beginning Algebra Units: 3
Review of the use of algebraic expressions for the solution of linear equations and geometric problems. Introduction to the rectangular coordinate system and its use for graphing functions and representing information. Solution of linear systems of equations, linear systems of inequalities, equations, and inequalities involving the absolute value. Introduction to polynomial expressions, their properties, and the solution of polynomial equations. Note: MATH 20 does not count toward any graduation requirement to be completed at CSUSM, but it is counted towards financial aid and VA benefits. Enrollment Requirements: Enrollment Requirement: Highest Entry-Level Mathematics (ELM) exam score from 30 to 38, or completion of MATH 10 with a grade of C (2.0) or better. Students who have satisfied the ELM requirement may not enroll.
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MATH 22 - Supplemental Instruction in MATH 30 Units: 1
Peer-facilitated learning session focused on development of skills needed to succeed in MATH 30 and subsequent math courses. Intended to provide a collaborative learning environment where students can work on problem solving, general study skills, and MATH 30 course content. May be repeated for a total of two 2 units. Grading Basis: Graded Credit/No Credit. Enrollment Restrictions: Enrollment restricted to students who have obtained consent of instructor.
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MATH 30 - Entry Level Mathematics Units: 3
Review of the rectangular coordinate system, lines, linear equation systems, and polynomial expressions and arithmetic. Algebraic subjects include: simplification of algebraic expressions, solution of quadratic and rational equations, properties of exponents, and arithmetic operations involving rational exponents. Geometric subjects include: determination of angles, basic geometric figures and their uses, properties of triangles, circles, polygons, and applications of the Pythagorean Theorem. Note: MATH 30 does not count toward any graduation requirement to be completed at CSUSM, but it is counted towards financial aid and VA benefits. Enrollment Requirements: Enrollment Requirement: Highest Entry-Level Mathematics (ELM) exam score from 40 to 48, or completion of MATH 20 with a minimum grade of C (2.0) or better. Students who have satisfied the ELM requirement may not enroll. Students who complete MATH 30 with a grade of C (2.0) or better will satisfy the ELM requirement.
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MATH 30C - Computer Aided Entry Level Math Units: 3
Review of the rectangular coordinate system, lines, linear equation systems, and polynomial expressions and arithmetic. Algebraic subjects include: simplification of algebraic expressions, solution of quadratic and rational equations, properties of exponents, and arithmetic operations involving rational exponents. Geometric subjects include: determination of angles, basic geometric figures and their uses, properties of triangles, circles, polygons, and applications of the Pythagorean Theorem. Content is identical to MATH 30 , and part of the content is taught with the help of computer software. Note: MATH 30C does not count toward any graduation requirement to be completed at CSUSM, but it is counted towards financial aid and VA benefits. Enrollment Requirements: Enrollment Requirement: Highest Entry-Level Mathematics (ELM) exam score from 40 to 48, or completion of MATH 20 with a minimum grade of C (2.0) or better. Students who have satisfied the ELM requirement may not enroll. Students who complete MATH 30C with a grade of C (2.0) or better will satisfy the ELM requirement.
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MATH 100 - Mathematical Ideas Units: 3
Basic mathematical concepts such as logic, number theory, number systems, algebra, geometry, functions, graphs, counting methods, probability, and statistics together with related cultural and historical perspectives. Applications of mathematics will be emphasized. May not be taken for credit by students who have received credit for GEM 100. Enrollment Restrictions: For students matriculating prior to Fall 2018, enrollment is restricted to students who have completed the Entry-Level Mathematics (ELM) requirement. For students matriculating in Fall 2018 or later, enrollment is restricted to students in Mathematics/Quantitative Reasoning Placement Categories I and II, or who have completed MATH 101 or MATH 105 with a grade of C (2.0) or better.
Satisfies GE area: B4
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MATH 101 - Quantitative Reasoning Units: 3
Mathematical tools for understanding the modern world. Includes using linear and exponential functions to model growth and decay processes; the effect of compounding interest in personal finance situations such as saving for a goal and paying off debt; using elementary probability theory to calculate the likelihood of events, and using descriptive statistics to organize data sets.
Note: Students who matriculated prior to Fall 2018 and who have completed the Entry Level Mathematics (ELM) requirement, and students matriculating in Fall 2018 or later who are in the Mathematics/Quantitative Reasoning Placement Categories I and II are allowed but not required to co-enroll in MATH 001 .
Corequisite(s): Students who matriculated prior to Fall 2018 and who have not completed the Entry Level Mathematics (ELM) requirement, and students matriculating in Fall 2018 or later who are in the Mathematics/Quantitative Reasoning Placement Categories III and IV must also co-enroll in MATH 001 .
Satisfies GE area: B4
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MATH 105 - Supported College Algebra Units: 3
College algebra with integrated review of intermediate algebra. Includes graphs, equations, inequalities, and functions (linear, polynomial, rational, root, exponential, logarithmic). May not be taken for credit by students who have received credit for MATH 115 , MATH 125 , or MATH 126. Enrollment Restrictions: For students who matriculated prior to Fall 2018: Enrollment restricted to students who have completed the Entry Level Mathematics (ELM) requirement. For students matriculating in Fall 2018 or later: Enrollment restricted to students in Mathematics/Quantitative Reasoning Placement Categories I, II or III, or who have completed MATH 101 with a grade of C (2.0) or better.
Corequisite(s): MATH 005 .
Satisfies GE area: B4
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MATH 110 - Critical Thinking Units: 3
Critical thinking in decision-making. Formal and informal fallacies of language and thought; the often unreliable guide of common-sense reasoning; analysis and criticism of ideas; distinction between fact and judgment, belief and knowledge; inductive and deductive arguments; and effective techniques of decision-making. Students will learn critical thinking skills to apply to common issues of everyday life.
Satisfies GE area: A3
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MATH 115 - College Algebra Units: 3
Equations and inequalities, functions, graphs, polynomials, exponential and logarithmic functions, conics, sequences and series, counting principles, binomial theorem, and systems of linear equations.
Note: Students who enter CSUSM in Mathematics/Quantitative Reasoning Placement Categories IV and who have completed MATH 101 with a grade of C (2.0) or better should take MATH 105 instead of this course.
May not be taken for credit by students who have received credit for MATH 105 or MATH 125 . Enrollment Restrictions: For students matriculating prior to Fall 2018, enrollment is restricted to students who have completed the Entry-Level Mathematics (ELM) requirement. For students matriculating in Fall 2018 or later, enrollment is restricted to students in Mathematics/Quantitative Reasoning Placement Categories I and II, or who have completed MATH 101 with a grade of C (2.0) or better.
Satisfies GE area: B4
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MATH 125 - Pre-Calculus Units: 4
Designed for students preparing to take MATH 160 . Equations and inequalities, functions, graphs, polynomial and rational functions, trigonometric functions, exponential and logarithmic functions, systems of linear equations, conics, sequences and series, and the binomial theorem. Students who have received credit for MATH 105 or MATH 115 may earn only three (3) credits toward graduation. Cross-listed: MATH 126 . May not be taken for credit by students who have received credit for MATH 126 . Enrollment Restrictions: For students matriculating prior to Fall 2018, enrollment is restricted to students who have completed the Entry-Level Mathematics (ELM) requirement. For students matriculating in Fall 2018 or later, enrollment is restricted to students in Mathematics/Quantitative Reasoning Placement Categories I and II, or who have completed MATH 105 with a grade of C (2.0) or better.
Satisfies GE area: B4
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MATH 126 - Transition to Calculus Units: 3
Designed as a bridge course between college algebra (MATH 105 or MATH 115 ) and calculus (MATH 160 ). Includes complex numbers, functions and their inverses, polynomial functions, polynomial division and inequalities, exponential and logarithmic functions, trigonometric functions and identities, sequences and series, systems of linear equations, and limits. May not be taken for credit by students who have received credit for MATH 125 .
Prerequisite(s): MATH 105 or MATH 115 with a grade of C (2.0) or better.
Satisfies GE area: B4
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MATH 132 - Survey of Calculus Units: 3
Basic calculus concepts with applications to business, economics, and the social sciences. Differential calculus for algebraic, exponential, and logarithmic functions; optimization, linearization, and other applications of derivatives; introduction to integral calculus. Includes use of graphing calculators. Enrollment Restrictions: For students matriculating prior to Fall 2018, enrollment is restricted to students who have completed the Entry-Level Mathematics (ELM) requirement. For students matriculating in Fall 2018 or later, enrollment is restricted to students in Mathematics/Quantitative Reasoning Placement Categories I and II, or who have completed MATH 105 with a grade of C (2.0) or better. Enrollment Requirements: MATH 105 or MATH 115 with a grade of C (2.0) or better, or the equivalent.
Satisfies GE area: B4
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MATH 142 - Basic Statistics Units: 3
Covers types of data; descriptive statistics; types of studies; probability and sampling distributions; statistical inference; correlation and linear regression; chi-square, t-tests, and F-test; interpretation of the relevance of the statistical findings. Includes the application of technology for statistical analysis from disciplines including business, social sciences, psychology, life science, health science, and education. Enrollment Restrictions: For students matriculating prior to Fall 2018, enrollment is restricted to students who have completed the Entry-Level Mathematics (ELM) requirement. For students matriculating in Fall 2018 or later, enrollment is restricted to students in Mathematics/Quantitative Reasoning Placement Categories I and II, or who have completed MATH 101 or MATH 105 with a grade of C (2.0) or better.
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MATH 160 - Calculus with Applications, I Units: 5
Differential and integral calculus of functions of one variable: analytic geometry, limits, continuity, derivatives, analysis of curves, integrals, and applications; algebraic, trigonometric, logarithmic, and exponential functions; and historical perspectives.
Prerequisite(s): A passing score on the math placement test; or MATH 125 or MATH 126 with a grade of C (2.0) or better.
Satisfies GE area: B4
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MATH 162 - Calculus with Applications,II Units: 4
A continuation of differential and integral calculus: inverse trigonometric and hyperbolic functions, integration methods, indeterminate forms, coordinate systems, planes and lines in space, sequences and series, applications, and historical perspectives. Includes a laboratory experience using either computers or graphing calculators.
Prerequisite(s): MATH 160 with a grade of C (2.0) or better.
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MATH 200 - Mathematical Statistics for Nursing Units: 3
Introduction to descriptive and inferential statistics and basic probability theory. Focuses on examples from life and health sciences. Includes histograms, stem- and dotplots, measuring center and spread, scatterplots, correlation, regression, two-way tables, parameter estimation, confidence intervals, t-test, and chi-square test. Introduces discrete and continuous probability model, random variables, normal, binomial, and Poisson distribution, and basic counting principles. Provides the necessary properties of exponential and logarithmic functions. Enrollment Restrictions: For students matriculating prior to Fall 2018, enrollment is restricted to Pre-Nursing students who have completed the Entry-Level Mathematics (ELM) requirement. For students matriculating in Fall 2018 or later, enrollment is restricted to Pre-Nursing students in Mathematics/Quantitative Reasoning Placement Categories I and II, or who have completed MATH 101 or MATH 105 with a grade of C (2.0) or better.
Satisfies GE area: B4
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MATH 210 - Math for K-8 Teachers I: Number Sense Units: 3
Designed to reinforce mathematical concepts for those teaching in grades K-8. Emphasis on numeric concepts: sets, logic, counting numbers, integers, rational numbers, real numbers, some number theory, and measurement and estimation, appropriate use of technology, and historical/cultural perspectives. Enrollment Restrictions: For students matriculating prior to Fall 2018, enrollment is restricted to students who have completed the Entry-Level Mathematics (ELM) requirement. For students matriculating in Fall 2018 or later, enrollment is restricted to students in Mathematics/Quantitative Reasoning Placement Categories I and II, or who have completed MATH 101 or MATH 105 with a grade of C (2.0) or better.
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MATH 212 - Mathematics for K-8 Teachers II: Geometry, Measurement, and Reasoning Units: 3
Designed to reinforce mathematical concepts for those teaching in grades K-8. Emphasis on patterns and functional relationships; geometric concepts in two- and three-dimensional space: points, lines, planes, curves, triangles, convex figures, parallelism, congruence, similarity, symmetry, perimeter, area, and volume; problem-solving strategies; appropriate use of technology; and historical/cultural perspectives. Credit may not be counted toward the mathematics major. Enrollment Restrictions: Enrollment restricted to students who have completed the Entry-Level Mathematics (ELM) requirement.
Prerequisite(s): MATH 210 with a grade of C (2.0) or better.
Satisfies GE area: B4
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MATH 242 - Introduction to Statistics Units: 3
Introduces basic concepts of probability theory such as sample space, discrete, and continuous probability models, counting principles, random variables, conditional probability, discrete probability distributions, normal probability distribution, joint and marginal distributions. Subjects in statistics include types of data, measures of central tendency and variations, visualizing data, tests for normality, sampling distribution, central limit theorem, hypothesis tests for means and proportions, correlation, and regression. May include computer software such as Excel, Minitab, or courseware. Enrollment Restrictions: For students matriculating prior to Fall 2018, enrollment is restricted to students who have completed the Entry-Level Mathematics (ELM) requirement. For students matriculating in Fall 2018 or later, enrollment is restricted to students in Mathematics/Quantitative Reasoning Placement Categories I and II, or who have completed MATH 105 with a grade of C (2.0) or better. Enrollment Requirements: MATH 105 or MATH 115 with a grade of C (2.0) or better, or an equivalent (or more advanced) course.
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MATH 260 - Calculus with Applications, III Units: 4
Differential and integral calculus of functions of several variables: three dimensional analytic geometry, vector calculus, partial derivatives, multiple integrals, line integrals, applications, and historical perspectives. Includes a computer laboratory experience.
Prerequisite(s): MATH 162 with a grade of C (2.0) or better.
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MATH 262 - Introduction to Differential Equations Units: 3
Models involving first-order equations, higher-order linear equations, systems of equations, numerical methods, and applications. Combines theoretical ideas with hands-on experience using appropriate computer software packages. This course is not currently offered at Cal State San Marcos. It is listed only for transfer credit and course equivalency purposes. Enrollment Requirements: Enrollment Requirement: MATH 162 with a grade of C (2.0) or better.
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MATH 264 - Introduction to Linear Algebra Units: 3
Matrix algebra, systems of linear equations, vector spaces, independence, linear transformations, eigenvalues and eigenvectors, and applications. This course is not currently offered at Cal State San Marcos. It is listed only for transfer credit and course equivalency purposes. Enrollment Requirements: Enrollment Requirement: MATH 115 with a grade of C (2.0) or better.
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MATH 270 - Basic Discrete Mathematics Units: 3
Exposure to fundamental discrete mathematical skills and knowledge: basic logic and applications in computer science, methods of proof, functions, relations, set, basic counting techniques, graphs, trees, and applications in computer science.
Prerequisite(s): MATH 160 with a grade of C (2.0) or better.
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MATH 303 - Themes for Society Units: 3
Descriptive overviews of selected areas of mathematics which play a visible role in the modern world. Topics include management science and operations research, political science, statistics, computer science, biology, and some late 20th Century advancements in pure mathematics. Credit may not be counted toward the mathematics major. Enrollment Restrictions: Enrollment restricted to students who have completed the Lower-Division General Education requirement in Mathematics/Quantitative Reasoning (B4).
Satisfies GE area: BB
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MATH 304 - Women and Mathematics Units: 3
Examination of the social phenomena that have led to the small number of women in the mathematical profession. Exploration of the controversy concerning research on the comparative mathematical ability of boys and girls. Study of the lives, times, and works of women mathematicians. Enrollment Restrictions: Enrollment restricted to students who have completed the Lower-Division General Education requirement in Mathematics/Quantitative Reasoning (B4).
Satisfies GE area: BB
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MATH 308 - Non-Statistical Mathematics in the Social Sciences Units: 3
Themes involving applications of mathematics in the social sciences such as: proportional representation, voting rules and aggregation of individual preferences, spatial models of election competition, power in weighted voting systems, power indices in politics, balance theory and social inequalities, measurement theory, game theory, static models of animal dominance, rumor and information networks. May not be taken for credit by students who have received credit for MATH 404. Enrollment Restrictions: Enrollment restricted to students who have completed the Lower-Division General Education requirement in Mathematics/Quantitative Reasoning (B4).
Satisfies GE area: BB
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MATH 311 - Mathematics for K-8 Teachers III: Algebra, Probability, Statistics, and Data Analysis Units: 3
Designed to reinforce mathematical concepts for those teaching grades K-8. Emphasis on linear and quadratic equations and inequalities; collection, organization, and representation of data; inferences, predictions, and arguments based on data; basic notions of chance and probability; appropriate use of technology; and historical/cultural perspectives. May not be taken for credit by students who have received credit for MATH 311B . Credit may not be counted toward the mathematics major.
Prerequisite(s): MATH 212 with a grade of C (2.0) or better.
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MATH 311B - Mathematics for K-8 Teachers III: Algebra, Probability, Statistics, and Data Analysis Units: 3
Designed to reinforce mathematical concepts for those teaching grades K-8. Emphasis on linear and quadratic equations and inequalities; collection, organization, and representation of data; inferences, predictions, and arguments based on data; basic notions of chance and probability; appropriate use of technology; and historical perspectives. Credit may not be counted toward the mathematics major. May not be taken for credit by students who have received credit for MATH 311 . Enrollment Restrictions: Enrollment restricted to students participating in the Integrated Credential Program.
Prerequisite(s): MATH 212 with a grade of C (2.0) or better.
Corequisite(s): EDMS 512B , EDMS 522B , EDMS 543B .
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MATH 314 - Workshop for Future Mathematics Educators Units: 2
Provides a discussion forum for students pursuing the Mathematics Single-Subject CSET Waiver Program, while co-enrolled in EDUC 350 - Foundations of Teaching as a Profession . Discussions focus on various mathematical subject matter typically presented in secondary-level classrooms, which students visit and observe in EDUC 350 . Students link their observations from the field experience to their own study of relevant mathematical skills and knowledge. Credit may not be counted towards the mathematics major.
Prerequisite(s): MATH 162 with a grade of C (2.0) or better.
Corequisite(s): EDUC 350 .
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MATH 315 - Finite Mathematics Units: 3
Sets, permutations, combinations, probability, linear equations and inequalities, matrices, linear programming, and finance. Credit may not be counted toward the mathematics major. May not be taken for credit by students who have received credit for MATH 130. Enrollment Restrictions: Enrollment restricted to students who have completed the lower-division General Education requirement in Mathematics/Quantitative Reasoning (B4).
Satisfies GE area: BB
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MATH 330 - Introduction to the History of Mathematics Units: 3
Major currents in the evolution of mathematical thought from early civilization to modern times.
Prerequisite(s): MATH 160 with a grade of C (2.0) or better.
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MATH 342 - Probability and Statistics for Engineers and Scientists Units: 3
Introduction to probability and statistical methods applicable to engineering and science. Includes basic probability theory, special random variables and their uses, sampling distributions and the Central Limit Theorem, estimating parameters and finding confidence intervals, hypothesis testing, simple linear regression, and quality control. Cross-listed: Also offered as EE 342 . Students may not receive credit for both. May not be taken for credit by students who received credit for MATH 440 , or MATH 442 . Credit may not be counted toward the mathematics major.
Prerequisite(s): MATH 260 with a grade of C (2.0) or better.
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MATH 346 - Mathematical Methods for Physics Units: 3
Survey of mathematical methods applicable to physics. Includes series, complex analysis, ordinary and partial differential equations, and special functions and transforms. Recommended Preparation: MATH 260 .
Prerequisite(s): MATH 162 with a grade of C (2.0) or better.
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MATH 350 - Foundations for Theoretical Mathematics Units: 3
Bridge course between computation-driven mathematics and theoretical mathematics. Designed to familiarize the student with the language and process of rigorous mathematical thought, speech, and writings through the introduction of typical and important examples from algebra, analysis, combinatorics, and geometry. Covers elementary logic, methods of proof, mathematical induction, sets, relations, equivalence relations, functions, inverse functions, binary operations and cardinality. Mathematics majors are encouraged to take this course as early as possible.
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 160 with a grade of A- (3.7) or better, or MATH 162 with a grade of C (2.0) or better.
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MATH 362 - Differential Equations Units: 3
Analysis and application of ordinary differential equations: linear and nonlinear equations, existence and uniqueness theorems, analytic methods, qualitative analysis of solutions, and numerical methods. Combines theoretical ideas along with hands-on experience using appropriate computer software.
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 162 with a grade of C (2.0) or better.
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MATH 374 - Linear Algebra Units: 3
Systems of linear equations, vector spaces, independence, bases, dimension, orthogonality, least squares, determinants, eigenvalues and eigenvectors, positive definiteness, computation, and linear programming. Combines theoretical ideas with hands-on experience using appropriate computer software packages.
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 160 with a grade of C (2.0) or better.
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MATH 378 - Number Systems Units: 3
Numbers: natural, rational, real, and complex. Algebraic laws: commutative, associative, and distributive. Brief introduction to groups, rings, and fields. Divisibility and unique factorization for integers and polynomials. Integers modulo n as finite rings and fields. The rational numbers as a non-complete countable ordered field. The real numbers as a complete uncountable ordered field. Sequences and limits including Cauchy sequences, lim inf and lim sup. Complex numbers including De Moivre’s theorem and related trigonometric identities. Factoring polynomials over the various number systems. The Fundamental Theorem of Algebra.
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 350 or MATH 370 with a grade of C (2.0) or better.
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MATH 410 - Modern Geometry Units: 3
Critical review of the foundations and basic structure of plane and solid Euclidean geometry, non-Euclidean geometries, incidence and affine geometries; convexity and applications.
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 350 or MATH 370 with a grade of C (2.0) or better.
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MATH 422 - Introduction to Number Theory Units: 3
Divisibility, Euclidean algorithm, unique factorization, congruences, and quadratic reciprocity. May also cover some of the following: included primitive roots and indices, continued fractions, sum of squares, introduction to Diophantine equations, prime numbers, pseudo-primes, the prime number theorem, and factorization and primality-testing algorithms. May not be taken for credit by students who have received credit for MATH 372.
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 378 with a grade of C (2.0) or better.
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MATH 430 - Foundations of Analysis Units: 3
A classical treatment of the basic concepts of calculus of one variable: the real number system, limits, continuity, differentiability, the Riemann integral, and sequences and series of numbers and functions. May not be taken for credit by students who have received credit for MATH 360.
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 378 with a grade of C (2.0) or better.
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MATH 440 - Introduction to Mathematical Probability and Statistics Units: 4
Basic concepts of probability: axiomatic formulation, combinatorics, conditional probability, independence, standard discrete and continuous random variables, expectation, variance, joint distributions, limit theorems. Statistical inference: tests of significance, point estimation methods, confidences intervals, simple linear regression. Combines theoretical ideas with hands-on experience using appropriate computer software packages. May not be taken for credit by students who received credit for MATH 441 .
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 260 with a grade of C (2.0) or better.
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MATH 441 - Introduction to Probability Units: 3
Discrete and continuous probability spaces, axiomatic formulation, combinatorics, conditional probability and independence, standard discrete and continuous probability distributions (including uniform, Bernoulli, binomial, Poisson, geometric, normal, and exponential), random variables, expectation and variance, joint distributions, and limit theorems. Emphasis on modeling. Simple proofs required. Additional topics may include random walks, branching processes, and generating functions. May not be taken for credit by students who received credit for MATH 440 .
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 260 with a grade of C (2.0) or better.
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MATH 442 - Introduction to Mathematical Statistics Units: 3
Data analysis and inferential statistics: random samples, estimation, sufficient statistics, confidence intervals, hypothesis tests, curve fitting, linear regression, least squares, and goodness of fit. Covers both theory and applications, with emphasis on applications. Simple proofs required.
Prerequisite(s): for undergraduates and enrollment requirement(s) for graduate students: MATH 441 with a grade of C (2.0) or better.
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MATH 448 - MathematicalModels and Methods in Biology Units: 3
Introduces mathematical models in Biology and their analysis. Both one dimensional models, including the Malthusian Model and the logistic model, and multi-dimensional models, including structured population models and predator-prey models, are studied, as are matrix models for base substitution in DNA, phylogenetic trees, and sequence alignment. Mathematical concepts and methods to formulate and analyze these models include limits, derivatives, matrix algebra, eigenvectors, probability theory, and dynamic programming. Software is used to simulate models and visualize the numerical results. Enrollment Requirements: Enrollment Requirement: MATH 160 with a grade of C (2.0) or better.
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