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CS 313 INTRODUCTION TO DATA SCIENCE

Credits: 3(3,1,0) Prerequisite: CS 210, STAT101
The Introduction to Data Science course will survey the foundational topics in Data science, Data
Manipulation, Data Analysis with Statistics and Machine Learning. Students will learn Python, Python
data structures including Numpy, Pandas and visualization techniques using Matplotlib and seaborn.
Students will learn how to apply basic machine learning concepts for classifications and regression.
Student will work on a group project to apply learned concepts on one of the many Data Science
applications.

CS 315: PARALLEL AND MULTICORE PROGRAMMING

Credits: 3(3,1,0) Prerequisites: CS175, CS 210
This course is an introduction to parallel programming with a special emphasis on the
techniques appropriate to multicore systems. The topics covered include performance
analysis and tuning, data and task parallelism, synchronization techniques, shared data
structures, and load balancing. The course features many hands-on practice sheets plus a
term project.

CS 320 PROGRAMMING LANGUAGES: CONCEPTS AND PARADIGMS
Credits: 3(3,1,0) Prerequisite: CS210
CS 320 provides undergraduate students with an overview of the theoretical foundations
of programming languages. Topics covered in this course include: introduction to different
language paradigms (functional, logic and object-oriented), the history of programming
languages and language design principles, syntax specification (using BNF, EBNF, and
syntax diagrams), central semantic issues of programming languages (declaration,
allocation, evaluation). Major languages covered include C, C++, Smalltalk, Java, Ada, ML,
Haskell, Scheme, and Prolog; many other languages are discussed more briefly.

CS 330 INTRODUCTION TO OPERATING SYSTEMS

Credits: 3(3,1,0) Prerequisites: CS 210, CS175
This course explores the evolution, services, and structures of operating systems. It covers
the basic concepts of operating system design and implementation and management of
system resources such as Central Processing Unit (CPU), Input/output (I/O) devices,
memory, and software. Examples given from modern operating systems such as Unix and
Windows-driven operating systems are scrutinized.

CS 331 DATA COMMUNICATIONS AND COMPUTER NETWORKS
Credits: 3(3,1,0) Prerequisite: CS 175, CS 210

This course introduces the basic concepts in data communication and computer networks.
Topics covered include the nature of data communication, characteristics of computer
networks, the ISO-OSI network protocol layers, topologies and models, error detection and
correction codes, and network performance considerations.

CS 336 NETWORK OPERATIONS AND ADMINISTRATION
Credits: 3(3,0,1) Prerequisite: CS 331

This course surveys network operations and provides an overview of TCP/IP network