# Computer Science (CS) courses

Las Positas College · 2026-2027 Catalog · 14 courses

Source: https://laspositas.curriqunet.com/catalog/iq/1097/1125/1143

"Offered" lists sections in this catalog year's class schedules: Summer 2026, Fall 2026.

### CS 43 — Professional Communications

- **Units:** 3
- **Hours:** 54 hours lecture
- **Transfers to:** CSU
- **Offered:** Fall 2026, 1 section (/c/las-positas-college/schedule/fall-2026/cs.md)
- Also listed as CIS 43, CNT 43
- Recommended Course Preparation: ENGL C1000
- Credit - Degree Applicable
- Grading Option: Optional

This course applies the principles of ethical and effective communication to the creation of letters, memos, emails, and written and oral reports for a variety of business situations. The course emphasizes critical thinking and analysis, planning, organizing, composing, and revising business documents to create and deliver professional-level oral presentations in-person and virtually. Additional focus will be placed on developing interpersonal skills, team participation skills, and technical report writing skills. Students may receive credit for CIS 43 or CNT 43 or CS 43, but only one.

### CS 41 — Red Hat Linux Administration I

- **Units:** 3
- **Hours:** 45 hours lecture,, 27 hours laboratory
- **Transfers to:** CSU
- **Offered:** Fall 2026, 1 section (/c/las-positas-college/schedule/fall-2026/cs.md)
- Also listed as CNT 7401
- Recommended Course Preparation: CIS 50
- Credit - Degree Applicable
- Grading Option: Optional

This course provides hands-on training covering basic installation, management, configuration, documentation and hardware topics for the Linux/UNIX operating system on workstations in a network environment. The course includes comprehensive coverage of topics related to Linux distributions, installation, administration, X-Windows, and networking. This course prepares students for the CompTIA Linux+ Certification Exam. Students may receive credit for CNT 7401 or CS 41, but not both.

### CS 3 — Red Hat Linux Administration II

- **Units:** 3
- **Hours:** 45 hours lecture,, 27 hours laboratory
- **Transfers to:** CSU
- **Offered:** not on the Summer 2026, Fall 2026 schedules
- Also listed as CNT 7402
- Recommended Course Preparation: CNT 7401
- Credit - Degree Applicable
- Grading Option: Optional

This course focuses on the key tasks needed to become a full time Linux Administrator and to validate those skills via the Red Hat Certified System Administrator exam. This course goes deeper into Enterprise Linux administration including filesystems and partitioning, logical volumes, SELinux, fire-walling, BASH script development and troubleshooting. Students may receive credit for CNT 7402 or CS 3, but not both.

### CS 1 — Computing Fundamentals I

- **Units:** 4
- **Hours:** 54 hours lecture,, 54 hours laboratory
- **C-ID:** COMP 122
- **Transfers to:** CSU, UC
- **Offered:** Fall 2026, 7 sections (/c/las-positas-college/schedule/fall-2026/cs.md)
- Recommended Course Preparation: MATH 107; CS 7
- Credit - Degree Applicable
- Grading Option: Optional

Introduction to programming and problem-solving using C++. Problem solving techniques and algorithms; program design, development, style, testing and debugging. C++ syntax covered includes: variables; data types; operators and expressions; control structures; library and user-defined functions; basic file input/output; binary file input/output; arrays; vectors; abstract data types including user-defined data structures and enumerated data types.

### CS 2 — Computing Fundamentals II

- **Units:** 4
- **Hours:** 54 hours lecture,, 54 hours laboratory
- **Prerequisite:** CS 1
- **C-ID:** COMP 132
- **Transfers to:** CSU, UC
- **Offered:** Fall 2026, 4 sections (/c/las-positas-college/schedule/fall-2026/cs.md)
- Credit - Degree Applicable
- Grading Option: Optional

Application of software engineering techniques to the design and development of large programs. Object-oriented programming methods and problem-solving strategies applied to intermediate-level problems using C++. Includes pointers and dynamic allocation; classes; encapsulation; inheritance and polymorphism; object and function overloading; recursive algorithms; data abstraction and structures.

### CS 4 — Introduction to Artificial Intelligence

- **Units:** 3
- **Hours:** 45 hours lecture,, 27 hours laboratory
- **Prerequisite:** CS 1
- **Transfers to:** CSU
- **Offered:** not on the Summer 2026, Fall 2026 schedules
- Recommended Course Preparation: CS 7; STAT C1000
- Credit - Degree Applicable
- Grading Option: Optional

An introduction to artificial intelligence (AI) and modern AI programming libraries. Basic discrete mathematics and statistics. Problem solving using uninformed, informed, local, and adversarial search algorithms. Knowledge representation, inference, and reasoning using propositional and first-order logic. Quantifying and reasoning about uncertainty with Bayesian networks and Markov decision processes. Ethical considerations of artificial intelligence.

### CS 5 — Introduction to Machine Learning

- **Units:** 3
- **Hours:** 45 hours lecture,, 27 hours laboratory
- **Prerequisite:** CS 1
- **Transfers to:** CSU
- **Offered:** not on the Summer 2026, Fall 2026 schedules
- Recommended Course Preparation: CS 7; STAT C1000
- Credit - Degree Applicable
- Grading Option: Optional

An introduction to machine learning (ML), with an emphasis on programming ML applications and using modern ML libraries. Basic discrete mathematics, statistics, and linear algebra. An overview of various supervised learning classifiers. Unsupervised learning via clustering. Reinforcement learning with model-based and model-free approaches. Safety and ethical concerns of machine learning.

### CS 7 — Introduction to Computer Programming Concepts

- **Units:** 3
- **Hours:** 45 hours lecture,, 27 hours laboratory
- **C-ID:** COMP 112
- **Transfers to:** CSU, UC
- **Offered:** Summer 2026, 4 sections (/c/las-positas-college/schedule/summer-2026/cs.md); Fall 2026, 2 sections (/c/las-positas-college/schedule/fall-2026/cs.md)
- Credit - Degree Applicable
- Grading Option: Optional

An introductory course in computer programming concepts and fundamental coding skills using object-oriented languages like Python. Material includes problem-solving techniques, design of algorithms, and common programming constructs such as variables, expressions, input/output, decision-making, loops and arrays.

### CS 17 — Discrete Mathematical Structures

- **Units:** 4
- **Hours:** 72 hours lecture
- **Prerequisite:** CS 1, (may be taken concurrently); MATH 1, (may be taken concurrently)
- **C-ID:** COMP 152
- **Transfers to:** CSU, UC
- **Offered:** Fall 2026, 1 section (/c/las-positas-college/schedule/fall-2026/cs.md)
- Also listed as MATH 10
- Credit - Degree Applicable
- Grading Option: Letter Grade Only
- Cal-GETC: 2
- LPC-GE: 2

Designed for majors in mathematics and computer science, this course provides an introduction to discrete mathematical structures used in Computer Science and their applications. Course content includes: Propositional and predicate logic; rules of inference; quantifiers; elements of integer number theory; set theory; methods of proof; induction; combinatorics and discrete probability; functions and relations; recursive definitions and recurrence relations; elements of graph theory and trees. Applications include: analysis of algorithms, Boolean algebras and digital logic circuits. Students may receive credit for CS 17 or MATH 10, but not both.

### CS 20 — Advanced Programming with Data Structures/C++

- **Units:** 4
- **Hours:** 54 hours lecture,, 54 hours laboratory
- **Transfers to:** CSU, UC
- **Offered:** Fall 2026, 2 sections (/c/las-positas-college/schedule/fall-2026/cs.md)
- Recommended Course Preparation: CS 2
- Credit - Degree Applicable
- Grading Option: Optional

Design and implementation of complex programs in C++ using a variety of fundamental data structures and algorithms. Includes the design and implementation of recursive functions, abstract data types, linked lists, stacks, queues, binary trees, hash tables, search and sorting algorithms, graphs, heaps, and algorithm analysis.

### CS 21 — Computer Organization and Assembly Language Programming

- **Units:** 4
- **Hours:** 54 hours lecture,, 54 hours laboratory
- **Prerequisite:** CS 1
- **C-ID:** COMP 142
- **Transfers to:** CSU, UC
- **Offered:** Fall 2026, 1 section (/c/las-positas-college/schedule/fall-2026/cs.md)
- Credit - Degree Applicable
- Grading Option: Optional

Basics of machine architecture, cpu architecture and design, machine language, assembly language, operating system and higher level language interface. Data representation, instruction representation and execution, addressing techniques and use of macros. Space and time efficiency issues. Input/output including video modes. Procedures including parameter passing and linkage to higher level languages.

### CS 31 — Java Programming

- **Units:** 4
- **Hours:** 54 hours lecture,, 54 hours laboratory
- **Transfers to:** CSU, UC
- **Offered:** not on the Summer 2026, Fall 2026 schedules
- Recommended Course Preparation: CS 1; CS 7
- Credit - Degree Applicable
- Grading Option: Optional

Applications programming using Java for students already familiar with the concepts of programming. Topics will include in Applets, GUI programming and design using Swing, presenting data files over the web, elementary data structures (queues, linked list, stacks) and vectors, searching (linear, binary), sorting algorithms, Database programming using JDBC (Java Data Base Connectivity), Remote Method Invocation (RMI), and Java Beans. The student shall also be exposed to and experience developing Java applications and applets in the Linux/Unix environment(s).

### CS 45 — Database Programming

- **Units:** 4
- **Hours:** 54 hours lecture,, 54 hours laboratory
- **Prerequisite:** CS 1 or CS 7 or CS 31
- **Transfers to:** CSU, UC
- **Offered:** not on the Summer 2026, Fall 2026 schedules
- Credit - Degree Applicable
- Grading Option: Optional

Design and manage databases and explore dynamic applications that interact with databases using compiled and interpreted client/server programming languages. Learn databases concepts, relational database principles, database design/modeling techniques, and Structured Query Language (SQL). Usage of databases in distributed environments, cloud-based systems, and big data analytics.

### CS 47 — Capstone Project

- **Units:** 3
- **Hours:** 18 hours lecture,, 108 hours laboratory
- **Transfers to:** CSU
- **Offered:** not on the Summer 2026, Fall 2026 schedules
- Recommended Course Preparation: CS 1 or CS 31; CNT 52; CIS 43 or CNT 43 or CS 43; CIS 60; CIS 62; CS 45
- Credit - Degree Applicable
- Grading Option: Optional

This is intended as a culminating experience within a degree or certificate sequence. Working individually or in a small team, you will develop a large-scale work-like project, driven by client needs, and requiring planning, implementation, documentation and presentation of the solution. Based on client requirements, each student or student team will design and implement a solution in a systematic and organized manner, breaking the project into logical sub-components and/or steps. Each student or student team will also prepare relevant written materials and give an oral presentation of the final product.