Mathematics

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Math is a powerful tool for understanding our world. It is used to model weather and climate, to understand financial and human systems, and is the language of science and engineering used to design the technology of tomorrow.

Mathematics forms the foundation of modern science and as such it is essential for those who want to understand and take part in the important scientific developments of our time. But it is also extremely useful for students in the social sciences as well as anyone who wants to comprehend, more fully, the world around us. At its crux, mathematics is a way for us to deepen our understanding and expand our horizons.

Average Salary in California

Jobs Growth Rate over 10 Years*

Actuaries

$116,540

21%

Data Scientists

$133,110

36%

Source: U.S. Department of Labor

A degree in Mathematics can be a gateway to many jobs in the sciences, including education, engineering, computer science, and physics.

Many broad skills are gained by studying mathematics: individuals must keep an open mind, ask frequent questions and seek out the reasons behind their work instead of simply memorizing. Perseverance, organization and critical thinking are also important for any mathematics student, no matter their skill level.

Almost all students at Skyline College will need to take at least one Mathematics course. It is important that you start in the appropriate class and that you do so within in your first or second semester. Please consult with a counselor to find out what is the best path for you.

Career Outlook

No matter your career, a basic understanding of mathematics is extremely useful, and often essential to success. A degree in Mathematics can be a gateway to many jobs in the sciences, including education, engineering, computer science, and physics.

Check out the classes offered in current and upcoming semesters.

Class Schedule

Program	Type	Total Units
Mathematics	AA	60 Units
Mathematics for Transfer	AS-T	60 Units

Math Jam is a FREE two-week intensive math preparation program designed to:

Prepare students for their upcoming Math courses
Connect with a community of support
Develop successful study skills

See details for the next Math Jam

Mathematics Engineering Science Achievement (MESA) is an academic enrichment program which helps educationally underrepresented students excel in math and science and graduate from college with degrees in math-based fields.

Learn more about MESA

The Skyline College Math Assistance Lab brings together academic and student support services for students taking science, technology, engineering and math courses.

One-on-one and small group assistance with math assignments for all levels of Math and Statistics
Specialized software applications and web resources
Academic Success Workshops for mathematics, from basic Math skills to Calculus
Learning Center staff are available in virtual tutoring rooms across disciplines for synchronous, video, or chat drop-in tutoring.

Use the Math Assistance Lab

The Skyline College STEM Center brings together academic and student support services for students taking science, technology, engineering and math courses.

The center supports student success by ensuring students have access to resources such as academic tutoring, counseling services, a resource depository for STEM pathways and transfer, a hub for internships and work based learning opportunities, as well as a place where students and staff can collaborate and build a community and supportive connection.

Check out the STEM Center

Upon completion of the program students will be able to:

ANALYZE problems in mathematics in order to appropriately choose and correctly apply concepts and techniques.
COMMUNICATE solutions in mathematics by using the multiple representations of graphs, tables, symbols, and words.
PARTICIPATE in activities that reinforce the use of success strategies while solving problems in mathematics.
CREATE mathematical models or hypothesis tests for real-world data sets and evaluate their implications for society.

Office Information

Location: Building 7
Email: hough@smccd.edu

Summer 2024 Courses | Fall 2024 Courses

Status	Title	Days	Time	Instructor
OPEN	MATH 130 - 55830 - Analytical Trigonometry MATH 130 TRIGONOMETRY (4) Hours/semester: 64-72 lecture/16-18 hours by arrangement. Prerequisites: Completion of MATH 120 or MATH 123, or appropriate placement test score and other measures as appropriate, or equivalent. Recommended: MATH 115 or equivalent. Trigonometric functions of real numbers and angles; solution of triangles; radian measure; graphs of trigonometric functions; trigonometric equations and identities; inverse trigonometric functions; complex numbers; applications of trigonometry. Note: A TI 83 or 84 graphing calculator is required for the course. Transfer credit: CSU (B4).		TBA	Moss, C
OPEN	MATH 130 - 56101 - Analytical Trigonometry MATH 130 TRIGONOMETRY (4) Hours/semester: 64-72 lecture/16-18 hours by arrangement. Prerequisites: Completion of MATH 120 or MATH 123, or appropriate placement test score and other measures as appropriate, or equivalent. Recommended: MATH 115 or equivalent. Trigonometric functions of real numbers and angles; solution of triangles; radian measure; graphs of trigonometric functions; trigonometric equations and identities; inverse trigonometric functions; complex numbers; applications of trigonometry. Note: A TI 83 or 84 graphing calculator is required for the course. Transfer credit: CSU (B4).	M T W Th	4:30pm-6:45pm	Kuan, H
OPEN for Waitlist	MATH 200 - 50157 - Elem Probability & Statistics MATH 200 Elementary Probability & Statistics Basic concepts underlying statistical methods and covers descriptive statistics, probability, probability distributions, hypothesis testing, estimates and sample sizes, correlation and regression, chi?square tests, and analysis of variance. Computer analysis of statistical data is integrated into the course. Applications of statistics to business, life sciences and other areas are included. Units: 4 Degree Credit Letter Grade Only Lecture hours/semester: 64-72 Homework hours/semester: 128-144 Total Student Learning hours/semester: 192-216 Prerequisites: Intermediate Algebra or equivalent or pre-statistics or placement by college approved multiple measures Corequisites: None AA/AS Degree Requirements: 3b; Area 9A3 Transfer Credit: CSU (CSU GE Area B4), UC (IGETC Area 2A) C-ID: MATH 110		TBA	Weathersby, K
OPEN for Waitlist	MATH 200 - 53393 - Elem Probability & Statistics MATH 200 Elementary Probability & Statistics Basic concepts underlying statistical methods and covers descriptive statistics, probability, probability distributions, hypothesis testing, estimates and sample sizes, correlation and regression, chi?square tests, and analysis of variance. Computer analysis of statistical data is integrated into the course. Applications of statistics to business, life sciences and other areas are included. Units: 4 Degree Credit Letter Grade Only Lecture hours/semester: 64-72 Homework hours/semester: 128-144 Total Student Learning hours/semester: 192-216 Prerequisites: Intermediate Algebra or equivalent or pre-statistics or placement by college approved multiple measures Corequisites: None AA/AS Degree Requirements: 3b; Area 9A3 Transfer Credit: CSU (CSU GE Area B4), UC (IGETC Area 2A) C-ID: MATH 110		TBA	Yu, J
OPEN	MATH 200 - 56105 - Elem Probability & Statistics MATH 200 Elementary Probability & Statistics Basic concepts underlying statistical methods and covers descriptive statistics, probability, probability distributions, hypothesis testing, estimates and sample sizes, correlation and regression, chi?square tests, and analysis of variance. Computer analysis of statistical data is integrated into the course. Applications of statistics to business, life sciences and other areas are included. Units: 4 Degree Credit Letter Grade Only Lecture hours/semester: 64-72 Homework hours/semester: 128-144 Total Student Learning hours/semester: 192-216 Prerequisites: Intermediate Algebra or equivalent or pre-statistics or placement by college approved multiple measures Corequisites: None AA/AS Degree Requirements: 3b; Area 9A3 Transfer Credit: CSU (CSU GE Area B4), UC (IGETC Area 2A) C-ID: MATH 110	M T W Th	9:10am-11:25am	Maoujoudi, A
OPEN	MATH 200 - 51491 - Elem Probability & Statistics MATH 200 Elementary Probability & Statistics Basic concepts underlying statistical methods and covers descriptive statistics, probability, probability distributions, hypothesis testing, estimates and sample sizes, correlation and regression, chi?square tests, and analysis of variance. Computer analysis of statistical data is integrated into the course. Applications of statistics to business, life sciences and other areas are included. Units: 4 Degree Credit Letter Grade Only Lecture hours/semester: 64-72 Homework hours/semester: 128-144 Total Student Learning hours/semester: 192-216 Prerequisites: Intermediate Algebra or equivalent or pre-statistics or placement by college approved multiple measures Corequisites: None AA/AS Degree Requirements: 3b; Area 9A3 Transfer Credit: CSU (CSU GE Area B4), UC (IGETC Area 2A) C-ID: MATH 110	T Th	3:10pm-8:00pm	Yu, J
OPEN	MATH 200 - 53951 - Elem. Probability & Statistics MATH 200 Elementary Probability & Statistics Basic concepts underlying statistical methods and covers descriptive statistics, probability, probability distributions, hypothesis testing, estimates and sample sizes, correlation and regression, chi?square tests, and analysis of variance. Computer analysis of statistical data is integrated into the course. Applications of statistics to business, life sciences and other areas are included. Units: 4 Degree Credit Letter Grade Only Lecture hours/semester: 64-72 Homework hours/semester: 128-144 Total Student Learning hours/semester: 192-216 Prerequisites: Intermediate Algebra or equivalent or pre-statistics or placement by college approved multiple measures Corequisites: None AA/AS Degree Requirements: 3b; Area 9A3 Transfer Credit: CSU (CSU GE Area B4), UC (IGETC Area 2A) C-ID: MATH 110		TBA	Moss, C
OPEN	MATH 211 - 56007 - Introduction to Data Science MATH 211 Introduction to Data Science An introduction to the foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. The course teaches critical concepts and skills in computer programming and statistical inference in conjunction with hands-on analysis of real-world datasets, as well as social issues surrounding data analysis such as privacy and design. Units: 4 Degree Credit Letter Grade Only Lecture hours/semester: 48-54 Lab hours/semester: 48-54 Homework hours/semester: 96-108 Prerequisites: MATH 130 or MATH 200 or MATH 225 or MATH 241 or equivalent. Corequisites: None Transfer Credit: UC, CSU	M T W Th	3:50pm-5:35pm	Momeni, K
OPEN	MATH 211 - 56007 - Introduction to Data Science MATH 211 Introduction to Data Science An introduction to the foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. The course teaches critical concepts and skills in computer programming and statistical inference in conjunction with hands-on analysis of real-world datasets, as well as social issues surrounding data analysis such as privacy and design. Units: 4 Degree Credit Letter Grade Only Lecture hours/semester: 48-54 Lab hours/semester: 48-54 Homework hours/semester: 96-108 Prerequisites: MATH 130 or MATH 200 or MATH 225 or MATH 241 or equivalent. Corequisites: None Transfer Credit: UC, CSU	M T W Th	2:10pm-3:50pm	Momeni, K
OPEN	MATH 222 - 56108 - Precalculus MATH 222 Precalculus Functional and graphing approach to the concepts and skills necessary as background for success in Calculus. Study of more advanced algebra, including logic, theory of equations, translation, rotation and composition approach to graphing, exponential and logarithmic functions, conic sections and a brief review of trigonometry. Units: 5 Degree Credit Letter Grade Only Lecture hours/semester: 80-90 TBA hours/semester: 16-18 Homework hours/semester: 144-162 Prerequisites: MATH 130 or equivalent. Corequisites: None AA/AS Degree Requirements: Area 9A3 Transfer Credit: CSU (CSU GE Area B4), UC (IGETC Area 2A)	M T W Th	7:00pm-10:00pm	Kuan, H
OPEN for Waitlist	MATH 251 - 53471 - Calculus/Analytic Geometry I MATH 251 CALCULUS WITH ANALYTIC GEOMETRY I Hours/semester: 80-90 lecture/16-18 hours by arrangement. Prerequisite: MATH 222, or appropriate placement test score and other measures as appropriate, or equivalent. The study of limits and continuity, the derivative, applications of the derivative, the definite integral, and the fundamental theorem of calculus. Primarily for science, technology, engineering, and math majors. Note: TI-83 or TI-84 Graphing Calculator required. Transfer credit: UC; CSU (B4).		TBA	Choi, Y
OPEN	MATH 251 - 56110 - Calculus/Analytic Geometry I MATH 251 CALCULUS WITH ANALYTIC GEOMETRY I Hours/semester: 80-90 lecture/16-18 hours by arrangement. Prerequisite: MATH 222, or appropriate placement test score and other measures as appropriate, or equivalent. The study of limits and continuity, the derivative, applications of the derivative, the definite integral, and the fundamental theorem of calculus. Primarily for science, technology, engineering, and math majors. Note: TI-83 or TI-84 Graphing Calculator required. Transfer credit: UC; CSU (B4).		TBA	Kotsishevskaya, Z
OPEN for Waitlist	MATH 251 - 56160 - Calculus/Analytic Geometry I MATH 251 CALCULUS WITH ANALYTIC GEOMETRY I Hours/semester: 80-90 lecture/16-18 hours by arrangement. Prerequisite: MATH 222, or appropriate placement test score and other measures as appropriate, or equivalent. The study of limits and continuity, the derivative, applications of the derivative, the definite integral, and the fundamental theorem of calculus. Primarily for science, technology, engineering, and math majors. Note: TI-83 or TI-84 Graphing Calculator required. Transfer credit: UC; CSU (B4).		TBA	Fredricks, S
OPEN	MATH 251 - 55234 - Calculus/Analytic Geometry I MATH 251 CALCULUS WITH ANALYTIC GEOMETRY I Hours/semester: 80-90 lecture/16-18 hours by arrangement. Prerequisite: MATH 222, or appropriate placement test score and other measures as appropriate, or equivalent. The study of limits and continuity, the derivative, applications of the derivative, the definite integral, and the fundamental theorem of calculus. Primarily for science, technology, engineering, and math majors. Note: TI-83 or TI-84 Graphing Calculator required. Transfer credit: UC; CSU (B4).	M T W Th	9:00am-11:50am	Ivanov, D
OPEN for Waitlist	MATH 252 - 55493 - Calcu/Analytic Geometry II MATH 252 CALCULUS WITH ANALYTIC GEOMETRY II Hours/semester: 80-90 lecture/16-18 hours by arrangement. Prerequisite: Completion of MATH 251 or equivalent. The study of applications of the definite integral, vectors, trigonometric and exponential functions, techniques of integration, polar coordinates and parametric equations. Transfer credit: UC; CSU (B4).		TBA	Loeffler, J
OPEN	MATH 252 - 56215 - Calcu/Analytic Geometry II MATH 252 CALCULUS WITH ANALYTIC GEOMETRY II Hours/semester: 80-90 lecture/16-18 hours by arrangement. Prerequisite: Completion of MATH 251 or equivalent. The study of applications of the definite integral, vectors, trigonometric and exponential functions, techniques of integration, polar coordinates and parametric equations. Transfer credit: UC; CSU (B4).		TBA	Nguyen, S
OPEN	MATH 275 - 50159 - Ordinary Differential Equation MATH 275 ORDINARY DIFFERENTIAL EQUATIONS (3) Hours/semester: 48-54 lecture/16-18 hours by arrangement. Prerequisite: MATH 253 or equivalent. The first course in ordinary differential equations including quantitative and qualitative methods including a variety of applications from many disciplines. Theoretical aspects of differential equations including existence of solutions and techniques for finding solutions including series solutions, singular points, linear systems, nonlinear systems, dynamical systems, Laplace transforms and operator techniques. Transfer credit: UC; CSU (B4).	T Th	6:30pm-10:00pm	Maoujoudi, A
OPEN	MATH 819 - 53462 - Mathematics Development MATH 819 MATHEMATICS DEVELOPMENT (3) Hours/semester: 48-54 lecture/16-18 hours by arrangement. This course prepares students for college-level Mathematics. Topics include whole numbers, decimals, fractions, percents, ratio and proportion, measurement, geometry, statistics, introductory symbolic manipulation, order of operations, and analytic methods for solving linear applications. Course emphasis will be on using these ideas and skills to solve problems from everyday life. Students will be required to complete individual and collaborative work with assignments both in-class and outside of class. Students will be required to use tutoring facilities for assignments as well. Note: This course does not replace any course in Skyline College's required course sequence based on placement testing. (Units do not count toward the Associate Degree).	M T W Th	1:00pm-1:50pm	Loeffler, J
OPEN	MATH 819 - 53462 - Mathematics Development MATH 819 MATHEMATICS DEVELOPMENT (3) Hours/semester: 48-54 lecture/16-18 hours by arrangement. This course prepares students for college-level Mathematics. Topics include whole numbers, decimals, fractions, percents, ratio and proportion, measurement, geometry, statistics, introductory symbolic manipulation, order of operations, and analytic methods for solving linear applications. Course emphasis will be on using these ideas and skills to solve problems from everyday life. Students will be required to complete individual and collaborative work with assignments both in-class and outside of class. Students will be required to use tutoring facilities for assignments as well. Note: This course does not replace any course in Skyline College's required course sequence based on placement testing. (Units do not count toward the Associate Degree).	F	9:00am-1:10pm	Folsom, J
OPEN	MATH 819 - 53463 - Mathematics Development MATH 819 MATHEMATICS DEVELOPMENT (3) Hours/semester: 48-54 lecture/16-18 hours by arrangement. This course prepares students for college-level Mathematics. Topics include whole numbers, decimals, fractions, percents, ratio and proportion, measurement, geometry, statistics, introductory symbolic manipulation, order of operations, and analytic methods for solving linear applications. Course emphasis will be on using these ideas and skills to solve problems from everyday life. Students will be required to complete individual and collaborative work with assignments both in-class and outside of class. Students will be required to use tutoring facilities for assignments as well. Note: This course does not replace any course in Skyline College's required course sequence based on placement testing. (Units do not count toward the Associate Degree).	M T W Th	2:00pm-2:50pm	Loeffler, J
OPEN	MATH 819 - 53463 - Mathematics Development MATH 819 MATHEMATICS DEVELOPMENT (3) Hours/semester: 48-54 lecture/16-18 hours by arrangement. This course prepares students for college-level Mathematics. Topics include whole numbers, decimals, fractions, percents, ratio and proportion, measurement, geometry, statistics, introductory symbolic manipulation, order of operations, and analytic methods for solving linear applications. Course emphasis will be on using these ideas and skills to solve problems from everyday life. Students will be required to complete individual and collaborative work with assignments both in-class and outside of class. Students will be required to use tutoring facilities for assignments as well. Note: This course does not replace any course in Skyline College's required course sequence based on placement testing. (Units do not count toward the Associate Degree).	F	9:10am-1:10pm	Folsom, J

The college catalog contains lists of all courses that we may offer in the current academic year.

View the Full Course Catalog

Students may use a variety of measures for appropriate placement into the pathways depicted below. These include EAP, 1B, ELM, SAT, ACT, and AP exam scores as well as high school transcripts. Please see the Assessment Center for more information: call (650) 738-4150, email skyassessment@smccd.edu, or visit the Assessment Center Website.

IMPORTANT: Which courses you take in either pathway depend on transfer destination and your intended major. To select your appropriate math class, see your counselor or use assist.org to retrieve course articulation information.

View the Math Placement Chart

Statistics and Liberal Arts Mathematics {SLAM) Pathway

Math 150

Math for Elementary School Teachers (3 units)

Math 200

Intro to Statistics (4 units)

With Math 800 corequisite support (2 units)

Math 211

Intro to Data Science (4 units)

Math 201

Math in Society (3 units)

Business, Science, Technology, Engineering, and Mathematics {B-STEM) Pathway

Math 130

Trigonometry (4 units)

With Math 830 corequisite support (1 unit)

Math 211

Intro to Data Science (4 units)

Math 222

Precalculus (5 units)

Math 251

Calculus I (5 units)

Math 252

Calculus II (5 units)

Math 253

Calculus III (5 units)

Math 270

Linear Algebra (5 units)

Math 275

Differential Equations I (5 units)

Math 225

Path to Calculus (6 units)

With Math 825 corequisite support (2 units)

Math 211

Intro to Data Science (4 units)

Math 251

Calculus I (5 units)

Math 252

Calculus II (5 units)

Math 253

Calculus III (5 units)

Math 270

Linear Algebra (5 units)

Math 275

Differential Equations I (5 units)

Math 241

Business Calculus I (5 units)

With Math 841 corequisite support (1 unit)

Math 211

Intro to Data Science (4 units)

Math 243

Business Calculus II with Trigonometry (4 units)

Other Options for the Quantitative Reasoning Requirement

Still looking for a class?

PSYC 171, BUS 113, 120, 123 can also satisfy Quantitative Reasoning requirement.

PSYC 171: Quantitative Reasoning in Psychology
BUS 113: Personal Finance
BUS 120: Mathematical Analysis for Business
BUS 123: Statistics

Why Study Data Science?

Impact

Have a direct impact on your community and solve real‑world problems

High Demand

Data Science will see continued growth across all industries

Research

Strengthen your research skills and enhance work from any major

Diversity

Bring diverse perspectives to how algorithms are built

Communication

Data helps you communicate in tech and non-tech fields

Creativity

Create new tools and use innovative modeling to tell a story

Upcoming Events

Data Science Offered at Skyline College

MATH 211: Introduction to Data Science

Spring 2024 CRN: 47577
Hybrid with on campus meetings on Mondays 1:10 - 4:00 pm with Prof. Hum

CSU transferrable & UC Articulation IGETC Approved
Based on a popular UC Berkeley Course called DATA 8
A friendly introduction to coding in Python - no experience required

New Class!
COMP 132: Introduction to Databases

CSU transferrable
Learn about databases and SQL

COMP 122: Introduction to Computer Programming: Python

UC and CSU transferrable
Designed to teach computer programming to Computer Science majors and non-majors
Introduction to Python Programming in interesting, relevant, and practical contexts

DataPath to CSU East Bay

Skyline now offers a Data Science Transfer pathway to CSU East Bay (no calculus required)
Earn a BS in Statistics with a Concentration in Data Science
Take any transfer level math class (such as MATH 200), MATH 211, COMP 122 & fulfill the CSU GE requirements to qualify for transfer

students listening to a lecture in a data science classroom

To learn more,

contact Denise Hum, Math Professor, at humd@smccd.edu

Primary Contacts

Benjamin Lam (Program Services Coordinator)

Science|Math|Technology-STEM Division

lamb@smccd.edu

(650) 738-7939

BLDG 07-7321B

Mathematics

Mathematics at Skyline College

Employment Statistics

Average Salary in California

Jobs Growth Rate over 10 Years*

Actuaries

Data Scientists

Career Outlook

Statistics and Liberal Arts Mathematics {SLAM) Pathway

Math 150

Math 200

Next Class in Path

Math 211

Math 201

Business, Science, Technology, Engineering, and Mathematics {B-STEM) Pathway

Math 130

Data Science Path

Math 211

Calculus Path

Math 222

Math 251

Math 252

Math 253

Math 270

Math 275

Math 225

Data Science Path

Math 211

Calculus Path

Math 251

Math 252

Math 253

Math 270

Math 275

Math 241

Data Science Path

Math 211

Calculus Path

Math 243

Other Options for the Quantitative Reasoning Requirement

Still looking for a class?

Why Study Data Science?

Impact

High Demand

Research

Diversity

Communication

Creativity

Upcoming Events

Data Science Offered at Skyline College

MATH 211: Introduction to Data Science

New Class!COMP 132: Introduction to Databases

COMP 122: Introduction to Computer Programming: Python

DataPath to CSU East Bay

To learn more,

Primary Contacts

Department Faculty

Division Contacts

New Class!
COMP 132: Introduction to Databases