Computer Science Courses -- Intersession & Spring 2025
CS - Computer Science --- Intersession/Spring 2025
Introduction to fundamental concepts and techniques for writing software in the Python programming language. Covers the syntax and semantics of data types, expressions, exceptions, control structures, Input/output, methods, classes, and pragmatics of Python programming.
First course in ANSI/ISO Standard C++ programming language. Topics include data types, strings, operators, expressions, control flow, input/output, functions, pointers, arrays, preprocessor, streams, enumerated data type, dynamic memory allocation, objects, classes, vectors, inheritance, object-oriented design and recursion. This course may also be offered online.
A first Computer Science course taught using the Java programming language. Students will build Java applications. Emphasis will be placed on programming fundamentals such as variables, selection and loops as well as object-oriented programming concepts including classes and inheritance. This course may also be offered online.
A study of data abstraction and algorithm analysis. Data structures include lists, stacks, queues, trees, tables, and graphs. Algorithms include searching, sorting, pattern-matching, tree traversal, and balancing. This is a core course for students who want to study advanced programming, computer science, or engineering.
A course in the architecture of computers. Topics will include Boolean algebra and computer arithmetic, digital logic, micro and macro architecture, Assembly language, performance, datapath and control, memory hierarchies, interfacing and peripherals, and multiprocessing.
Advanced Python programming. Covers classes, modules, using the Python standard library and using third-party libraries.
Second course in ANSI/ISO Standard C++ programming language. Topics include sorting and searching, data structures, operator overloading, memory management, exception handling, name scope management, polymorphism, templates, STL containers, STL algorithm and iterators, and functional programming.
An introduction to the discrete structures used in Computer Science. Topics covered include basic logic, proof techniques, relations, Boolean algebra, logic gates, languages and grammars, finite-state machines, and Turing machines.
An introduction to the discrete structures used in Computer Science with an emphasis on their applications. Topics covered include functions, relations, sets, basic logic, proof techniques, basics of counting, graphs, trees, and discrete probability.
Introduction to probability and statistics with an emphasis on their applications in Computer Science. Topics include continuous and discrete probability distributions, linear and logistic regression, creating models to use for predictive inference, and programmatic analysis of data.