LSU Computer Science

Introduction to computers, their applications and impact on people and social institutions;

Introduction to ethics theory, ethical decision-making as it relates to the computing profes

Introduction to MATLAB programming with applications in statistics and graphics.

Fundamentals of problem solving, program design, algorithms and programming using a high-level

Fundamentals of algorithm development, program design and structured programming using an ob

Develops solutions to problems using an object-oriented approach and emphasizes the concepts

Fundamentals of algorithm development, program design and structured programming using an ob

Develops solutions to problems using an object-oriented approach and emphasizes the concepts

Set algebra including mappings and relations; algebraic structures including semigroups and g

Computer- oriented methods for solving numerical problems in science and engineering; numeri

Programming concepts motivated by digital media applications: real-time graphics, audio proce

Problem solving techniques and structured programming tools for engineering synthesis and a

Characteristics, theory and fundamentals of cloud computing and related technologies; cloud t

May be taken for a max. of 6 hrs. of credit when topics vary. Specialized areas of current i

Effective and efficient strategies for data capture; the relational database model, queries,

Description and utilization of formal ADT representations, especially those on lists, sets an

Advanced object oriented software development; emphasis on the use of the unified modeling la

Computer arithmetic, design of high-speed adders and multipliers, CPU concepts, instruction

Individual research on problems in computer science.

Writing and formal defense of a research thesis in computer science. Defense committee of thr

May be taken for a max. of 4 hrs. of credit. Individual readings, conferences and program dev

Principles of programming language design; specification of syntax and semantics; underlying

Design techniques, process management, processor scheduling; deadlocks, memory management, se

Human-computer interaction provides the bridges across which humans engage with computation.

The essentials of video game design and implementation, including planning, graphics, sound,

Batch process systems programs, their components, operating characteristics, user services an

Software requirements analysis; design representation, programming methodologies; verificatio

Program language structures, translation, loading, execution and storage allocation; compilat

Examination of modern modeling techniques for complex/high quality software including static/

Network, hierarchical, relational and entity-relationship models; data definition, manipulati

Theorem proving and inferencing techniques, production systems, knowledge representation, app

Introduction to local, metropolitan and wide area networks using the standard OSI reference m

Optimization as a modeling tool with emphasis on modeling approaches, fundamental algorithms

Advanced problems and challenges in defining, developing, and building a cloud system; virtua

May be taken for a max. of 9 cr. hrs. when topics vary. Total hrs. earned in CSC 2700  and 470

Advanced analytics and management techniques applied to large-scale datasets; Hadoop/MapReduc

Introduction to finite automata, regular expressions and languages; push-down automata and co

May be taken for a max. of 4 hrs. of credit. Individual readings, conferences and program dev

Background in electronics not required. Functional architecture of modern digital computer syst

Advanced study of data specification, storage management and control in programming languages

Concurrent programming: shared memory, communication and operation-oriented models; concurren

Formal specification techniques, design techniques, abstraction, information hiding, modulari

CSC 4890  or CSC 7101  or equivalent. Automata on infinite objects; Buechi Automata; Muller

Characteristics of an algorithm; problems of algorithm existence; the design, implementation an

Fundamental principles of machine learning; inductive learning; explanation-based learning; c

Automatic generation of LL (1), LR (1), LALR (1) parsers, syntax directed translation of high

Computational aspects of vision; utilization of techniques from computational geometry, combi

Implementation of database systems (physical model and its mapping to conceptual model); data

Introduction to data mining and knowledge discovery in databases; data cleaning, statistical

Study of computer visualization principles, techniques and tools used for explaining and unde

Temporal and nonmonotonic logic; truth maintenance systems; probabilistic reasoning; deductiv

Topics include commercially available retrieval systems, text content analysis, query proces

Networking and inter-networking; client-server model; remote procedure calls; processes and p

Fundamental computational techniques required for scientific computing; important algorithms

Multicasting architectures, protocols and applications; ATM and Internet solutions; scalable

Radio systems and ad-hoc wireless networks; relevant concepts in terms of mobility, migration

May be taken for a max. of 12 hrs. of credit when topics vary. Specialized areas of current int

Self-organizing sensor networks; querying, and data aggregation; routing; energy-efficient co

May be taken for a max. of 2 hrs. of credit when topics vary. Student presentations and discussi