Courses

Units: 4
Terms Offered: Fall & Spring

An introduction to the concepts of artificial intelligence (AI) and machine learning (ML); AI and ML applications; ethical considerations; intended for students without a programming or computer science background. Recommended Preparation: A basic knowledge of mathematics or statistics, cognitive psychology, economics, business, linguistics, communication and philosophy.

Available on-campus only.

Units: 4
Terms Offered: Fall & Spring

Introduction to the concepts behind and use of artificial intelligence for natural language processing in interactive artificial intelligence systems; intended for students without a programming or computer science background. Recommended Preparation: A basic knowledge of mathematics and statistics, cognitive psychology, economics, business, linguistics, communication and philosophy.

Available on-campus only.

Units: 4
Terms Offered: Fall & Spring

Foundational concepts of artificial intelligence (AI) for robotics, cyberphysical systems and automation; intended for students without a programming or computer science background. Recommended Preparation: Basic knowledge of mathematics or statistics, mechanical engineering, electrical engineering, cognitive psychology, economics, business, linguistics, communication and philosophy

Available on-campus only.

Units: 4
Terms Offered: Fall

Threats to information systems; technical and procedural approaches to threat mitigation; policy specification and foundations of policy for secure systems; mechanisms for building secure security services; risk management. Background in computer security preferred. Recommended previous courses of study include computer science, electrical engineering, computer engineering, management information systems and/or mathematics.

Available on-campus and online through DEN@Viterbi.

Units: 4
Terms Offered: Fall

Assurance that an information system will behave as expected; assurance approaches for fielding secure information systems; case studies. Recommended preparation: Prior degree in computer science, electrical engineering, computer engineering, management information systems and/or mathematics. Some background in computer security preferred.

Prerequisite: DSCI 519

Available on-campus and online through DEN@Viterbi.

Units: 4
Terms Offered: Spring

Analysis of computer security and why systems are not secure. Concepts and techniques applicable to the design of hardware and software for Trusted Systems.
Recommended Preparation: Background in computer security, computer architecture, operating systems, software development is preferred. Recommended previous course of study is DSCI 519.

Available on-campus and online through DEN@Viterbi.

Units: 4
Terms Offered: Fall

The administrator’s role in information system testing, certification, accreditation, operation and defense from cyber attacks. Security assessment. Examination of system vulnerabilities. Policy development. Recommended preparation: Previous degree in computer science, mathematics, computer engineering, data science and/or information security undergraduate program. It is also highly recommended that students have successfully completed coursework involving policy and network security.

Prerequisite: CSCI 530

Available on-campus only.

Units: 4
Terms Offered: Spring

Explores topics in the intersection of data, networks and algorithms with fairness and bias through quantitative analysis and hands on exploration. Introduces students to basic and advanced fairness concepts, including methods and apply them to societal data to study fairness and bias, and to understand their effects on learning algorithms.

Available on-campus only.

Units: 4
Terms Offered: Fall & Spring

Fundamentals of big data informatics techniques. Data lifecycle; the data scientist; machine learning; data mining; NoSQL databases; tools for storage/processing/analytics of large data set on clusters; in-data techniques. Recommended preparation: A basic understanding of engineering principles and programming language is desirable.

Available on-campus and online through DEN@Viterbi.

Units: 4
Terms Offered: Fall & Summer

Function and design of modern storage systems, including cloud; data management techniques; data modeling; network-attached storage, clusters and data centers; relational databases; the map-reduce paradigm. Recommended preparation: DSCI 550 taken previously or concurrently; understanding of networks and databases; experience with probability, statistics, and programming.

Available on-campus and online through DEN@Viterbi.

Units: 4
Terms Offered: Fall, Spring & Summer

Practical applications of machine learning techniques to real-world problems. Uses in data mining and recommendation systems and for building adaptive user interfaces. Recommended preparation: Knowledge of statistics and linear algebra; programming experience. Recommended preparation: DSCI 550 and DSCI 551 taken previously or concurrently.

Available on-campus only.

Units: 3
Terms Offered: Spring

Function, design, and use of modern data management systems, including cloud; data management techniques; data modeling; network-attached storage, clusters and data centers; relational databases; the map-reduce paradigm. Recommended preparation: Understanding of engineering principles, basic programming skills, familiarity with Python.

Available on-campus only. Crosslisted as ISE 559.

For descriptions of ITP courses, visit the USC Viterbi Information Technology Program website.
For descriptions of CSCI courses, visit the USC Viterbi Department of Computer Science website.

Published on May 26th, 2017

Last updated on July 27th, 2022