Dept Code: CSC
Introduction
The Department of Computer Science offers undergraduate and graduate education in Computer Science, and performs research in various areas of Computer Science. Faculty research interests include algorithm engineering, applied cryptography & cybersecurity, automated reasoning, bioinformatics, computational complexity, computational geometry & computer graphics, computational neuroscience, data mining & data science, machine learning & neural networks, music information retrieval, robotics, scientific computing, semantic web, and sensors & wireless systems.
Educational Objectives
The Department of Computer Science educates students in the science of software development: the analysis of domain problems, the development of algorithms and programs, the use of specialist computing techniques, the system-software and hardware platforms, and the production and deployment of efficient and robust computer software. Instruction ranges from introductory programming classes and laboratories, through to faculty research areas.
Degree Programs
The Department of Computer Science offers
- a Bachelor of Science (BS) major
- a Bachelor of Arts (BA) major
- a Bachelor of Science (BS) in Data Science & AI major
- a Bachelor of Arts (BA) in Data Science & AI major
- a 5-year Bachelor of Science + Master of Science (BS+MS)
- a minor
Computer Science as a Second Major
An additional major in Computer Science is available to all students. An additional major in Computer Science requires completion of the requirements of a Computer Science major, either the Additional Major in Computer Science, Fundamentals or the Additional Major in Computer Science, with Tracks.
Data Science and Artificial Intelligence as a Second Major
An additional major in Data Science & Artificial Intelligence (DS&AI) is available to all students. An additional major in DS&AI requires completion of the requirements of a DS&AI major, either the courses in a BS in DS&AI, or the courses in a BA in DS&AI.
Writing within the Discipline
To satisfy the College of Arts and Sciences writing requirement in the discipline, students whose first major is Computer Science must take at least one of the following courses for a writing credit: CSC 405, CSC 410, CSC 431, WRS 233.
Departmental Honors
In addition to the University’s requirements for Departmental Honors, Departmental Honors in Computer Science requires completing a major and 6 additional approved credit hours (all CSC 4XX and CSC 5XX courses are approved). The major or additional credit hours must include at least 3 credit hours from CSC 410 and/or CSC 411.
Notes
- A grade of C- or better in all CSC courses is required in a major or minor.
- An overall GPA of 2.5 or better in all CSC courses is required in a major or minor. This GPA is computed using only courses from this department. If a course is repeated only the highest grade for the course is used.
- For a Computer Science major, at least 15 credit hours of CSC courses must be completed at the University of Miami.
- For a Computer Science minor, at least 9 credit hours of CSC courses must be completed at the University of Miami.
CSC 110. Social and Ethical Issues in Computing. 3 Credit Hours.
History, social context and methods and tools of analysis. Professional and ethical responsibilities. Intellectual property. Privacy and civil liberties.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 113. Data Science for the World. 4 Credit Hours.
Introduction to the concepts of data science. Basic data analysis skills. The programming language R. Lecture 3 hours, laboratory 2 hours.
Prerequisite: MTH 108 or higher.
Components: LAB.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 115. Python Programming for Everyone. 3 Credit Hours.
Introduction to computing, programming, and Python. Data and variables. Control flow. Methods. Arrays and lists. Object oriented programming. Lecture 2 hours, laboratory 2 hours.
Pre/Corequisite: MTH 107, or Math SAT score of 620, or ACT score of 27, or ALEKS score of 61.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 116. Cybersecurity: An Introduction to Security in Cyberspace. 3 Credit Hours.
An introduction to cybersecurity. Recent incidents. The Internet. Types of attacks. Tools for defending against attacks on users and networks. Legal, moral, and social aspects.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 118. Information Technology and Society. 3 Credit Hours.
A variety of topics on information technology and society through various course activities including research papers, experiments, and by reading articles. The topics covered include but are not limited to: history of computing, hardware mechanisms, algorithms design, software development principles, software tools, security, and artificial intelligence.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Summer.
CSC 119. Computers and Society. 3 Credit Hours.
Basic concepts of computer systems. Installing, configuring, and managing computer software. Internet information retrieval. Application software. HTML, programming for the www in JavaScript. E-commerce, cryptography, computer security. Social, legal, ethical issues and the future.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 120. Computer Programming I. 4 Credit Hours.
History of computing. Fundamental programming constructs. Algorithms and problem solving. Object-oriented programming. Recursion. Lecture 2 hours, laboratory 2 hours.
Prerequisite:CSC115 or MTH141 or MTH151 or MTH161 or MTH171 or MAS110.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 198. Introductory Topics in Computer Science. 1-3 Credit Hours.
Freshman topics in Computer Science - Content varies by semester.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 210. Computing for Scientists. 3 Credit Hours.
Introduction to computing. Computing applications in science. Tools for applications. Algorithms for applications. Implementation of algorithms. Data in science. Storage and retrieval of data. Analysis and visualization of data.
Prerequisite: MTH 141 or MTH 151 or MTH 161 or MTH 171.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 220. Computer Programming II. 4 Credit Hours.
Common APIs including list, priority queue, set, and map, and their efficient implementations in an object-oriented language using fundamental data structures. Sorting and other applications of recursion. Combining asymptotic analysis and experiments to extrapolate running times. Using APIs in a software project. Lecture 3 hours, laboratory 2 hours.
Prerequisites: CSC 120 or BTE 324 or ECE 218 and MTH 108 or MTH 140 or MTH 141 or MTH 161 or MTH 162 or MTH 171 or MTH 172 or MAS 110.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 298. Sophomore Topics in Computer Science. 1-3 Credit Hours.
Sophomore Topics in Computer Science - Content varies by semester.
Prerequisite: 6 credits of CSC courses.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 314. Computer Organization and Architecture. 3 Credit Hours.
Digital logic and digital systems. Machine level representation of data. Assembly level machine organization. Memory system organization and architecture. Interfacing and communication. Functional organization. Multiprocessing and alternative architectures.
Prerequisite: CSC 120. or BTE 324. or ECE 218. and Corequisite: MTH 309 or MTH 230.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 315. Introduction to Python for Scientists. 3 Credit Hours.
Python programming. Python packages for scientific applications. Data science and machine learning applications. Designed for students from the sciences.
Prerequisite: MTH 161 and (CSC113 or MTH224 or other approved statistics course).
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 317. Data Structures and Algorithm Analysis. 3 Credit Hours.
Basic algorithmic analysis. Algorithmic strategies. Fundamental computing algorithms. Distributed algorithms. Cryptographic algorithms. Geometric algorithms.
Prerequisite: CSC 220 or ECE 318 , and MTH 309 or MTH 230.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 322. System Programming. 3 Credit Hours.
Using UNIX: User environment, Shells, File system, Tools, Scripting. C programming: Core language elements, Pointers, Libraries, Tools, Programming for UNIX: System calls, System information, Processes and threads, File system, Signals, Interfaces to the internet.
Prerequisite: CSC 220 or ECE 218, and CSC 314.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 329. Introduction to Game Programming. 3 Credit Hours.
Fundamental programming issues in game design: Software design; Version control; Basic graphics; GUI programming. Large-scale game project: Team development of a functional game; Graphics and GUI component; Networking component; Core game engine.
Prerequisite: CSC 220 or ECE 318.
Components: LEC.
Grading: GRD.
Typically Offered: Spring.
CSC 330. Android Programming. 3 Credit Hours.
The Android Studio programming environment. The Android execution model. User interfaces. Media. Data storage areas. Sensors and actuators.
Prerequisite: "A" grade in CSC 220.
Components: LAB.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 398. Junior Topics in Computer Science. 1-3 Credit Hours.
Junior Topics in Computer Science - Content varies by semester.
Prerequisite: 9 credits of CSC courses.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 401. Computer Science Practicum I. 1 Credit Hour.
Implementation of techniques, algorithms, and data structures being taught in a co-requisite computer science course.
Components: PRA.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 402. Computer Science Practicum II. 1 Credit Hour.
Implementation of techniques, algorithms, and data structures being taught in a co-requisite computer science course.
Components: PRA.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 403. Computer Science Practicum III. 1-3 Credit Hours.
Implementation of techniques, algorithms, and data structures being taught in a co-requisite computer science course.
Components: PRA.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 405. Computer Science Seminars Reports. 1 Credit Hour.
A range of topics in Computer Science, as embodied in the seminars hosted by the Department. Students write reports about the seminars.
Prerequisite: At least 12 credits of CSC courses.
Components: SEM.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 410. Computer Science Project Planning. 1-3 Credit Hours.
Planning for the implementation of a Computer Science project, including: Problem analysis, System architecture design, Algorithm and data structure selection, User interface design, Verification and validation plan, and Prototyping.
Prerequisite: At least 12 credits of CSC courses.
Components: PRA.
Grading: GRD.
Typically Offered: Fall, Spring, & Summer.
CSC 411. Computer Science Project Implementation. 1-3 Credit Hours.
Implementation of a Computer Science project, including: Hardware preparation, Component implementation, System integration, Verification and validation, and Documentation.
Prerequisite: At least 12 credits of CSC courses.
Components: PRA.
Grading: GRD.
Typically Offered: Fall, Spring, & Summer.
CSC 412. Computer Science Internship. 1-3 Credit Hours.
A commercial computing environment. Normally 50 internship hours are required per credit earned (the host company must supply documentary evidence of hours worked).
Prerequisite: At least 12 credits of CSC courses.
Components: PRA.
Grading: GRD.
Typically Offered: Fall, Spring, & Summer.
CSC 419. Programming Languages. 3 Credit Hours.
Overview of programming languages. Fundamental issues in language design. Virtual machines. Introduction to language translation. Models of execution control. Declaration, modularity, and storage management. Programming language semantics. Programming paradigms.
Prerequisite: CSC 317 or CSC 517.
Components: LEC.
Grading: GRD.
Typically Offered: Spring.
CSC 421. Principles of Computer Operating Systems. 3 Credit Hours.
Process management. Scheduling and dispatch. Interprocess communication. Memory management. File systems. Device management. Security and protection. System programming for UNIX.
Prerequisite: CSC 314 and CSC 322.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 423. Database Systems. 3 Credit Hours.
Information models and systems. Database systems. Data modeling. Relational databases. Relational database design. Database query languages, Data mining concepts, Web database programming.
Prerequisite: CSC 322 or ECE 322.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 424. Computer Networks. 3 Credit Hours.
Introduction to computer networks and network applications. The protocol stack. Routing, switching and bridging technologies. Models of network computing. Internet standards and protocols.
Prerequisite: CSC 314 and CSC 322.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 427. Theory of Computing. 3 Credit Hours.
Sets, relations, and languages. Automata theory. Basic computability theory. Turing machines. The complexity classes P and NP.
Prerequisite: CSC 220 or ECE 318 , and MTH 309 or MTH 230.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 431. Introduction to Software Engineering. 3 Credit Hours.
Software processes, requirements and specifications, design, validation, evolution. Project management, tools and environments. Foundations of human-computer interaction. Risks and liabilities of computer-based systems. Intellectual property.
Prerequisite: CSC 317 or CSC 322 or CSC 517.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 481. Teaching Assistant Training in Computer Science. 1-3 Credit Hours.
Training and teaching assistant for a specific course, in computer laboratories. May be taken multiple times, assisting maximally twice for a given course.
Prerequisite: At least 12 credits of CSC courses.
Components: PRA.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 498. Senior Topics in Computer Science. 1-3 Credit Hours.
Senior Topics in Computer Science - content varies by semester.
Prerequisite: At least 12 credits of CSC courses.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 506. Logic and Automated Reasoning. 3 Credit Hours.
Propositional and first order logic. Reasoning and resolution. More complex inference rules. Proof search refinements. Gödel's incompleteness theorem. Using contemporary Automated Theorem Proving (ATP) systems. Applications of ATP in research and industry.
Prerequisite: CSC317 or CSC545, MTH309 or MTH230.
Components: LEC.
Grading: GRD.
Typically Offered: Fall Odd Years.
CSC 507. Data Security and Cryptography. 3 Credit Hours.
Access, information flow, and inference controls. Network security and management. Encryption algorithms. Cryptographic techniques.
Prerequisite: CSC 317 or CSC 427.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 516. Cybersecurity. 3 Credit Hours.
Introduction to Cyberspace. Foundations of Cybersecurity. Blockchain and its applications. Malware and counter measures against malware. Firewalls. Intrusion detection and prevention systems. Security for cloud computing and the Internet of Things. Design and implementation of secure software systems.
Prerequisite: CSC 317, MTH 224, MTH 309 or MTH 230.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 518. Interpreters and Compiler Theory. 3 Credit Hours.
Translation of higher-level languages into machine language. Grammars, parsing, scanners, precedence relations. Run-time storage and symbol table organization. Semantic routines. Chaining and hashing. Code generation and optimization. Macro implementation.
Prerequisite: CSC 419.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 528. Introduction to Parallel Computing. 3 Credit Hours.
Parallel computing systems. Shared-memory parallel programming, with Open-MP. Distributed-memory parallel programming, with Open-MPI. Applications: Vector and matrix operations, sorting, image processing.
Prerequisite: CSC 317.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 529. Introduction to Computer Graphics. 3 Credit Hours.
Graphic systems. Graphic communication. Geometric modeling (2D and 3D representations). Rendering. Advanced techniques. Display and input devices. Software packages.
Prerequisite: CSC 220. or ECE 318. and MTH 210.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 540. Algorithm Design and Analysis. 3 Credit Hours.
Design techniques, including divide-and-conquer, greedy method, dynamic programming, backtracking. Time and space complexity. Sorting and searching. Combinatorial and graph algorithms.
Prerequisite: CSC 317.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 542. Statistical Learning with Applications. 3 Credit Hours.
Supervised and unsupervised learning. Regression and classification. Statistical learning methods: K-Nearest Neighbors, linear models, tree-based methods, support vector machines. Dimensionality reduction and clustering. Applications of statistical learning methods using R.
Prerequisite: MTH 224.
Components: LEC.
Grading: GRD.
Typically Offered: Spring.
CSC 545. Introduction to Artificial Intelligence. 3 Credit Hours.
Fundamental issues in intelligent systems. Search and constraint satisfaction. Knowledge representation and reasoning. Natural language processing. Machine learning and neural networks. Game theory. AI programming.
Prerequisite: CSC 317 or ECE 511, MTH 224 or ECE 310 or IEN 310.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 546. Introduction to Machine Learning with Applications. 3 Credit Hours.
Python and probability, the Numpy package. K-means clustering. The Gaussian mixture model. Kernel density estimation. Dimensionality reduction. Classification. Regression, SVM, and SVR. Ensemble learning. Cross validation for model selection. Signal encoding-decoding. Dictionary learning. Metrics for performance evaluation. Deep neural networks. Neural networks, the Pytorch and Keras packages. Computational graph and automatic differentiation. Convolutional neural networks. Autoencoders. Generative adversarial networks. Transfer learning.
Prerequisite: MTH 210 and MTH 224.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
CSC 547. Computational Geometry. 3 Credit Hours.
Algorithms for solving geometric problems arising from application domains including graphics, robotics, and GIS.
Prerequisite: CSC 317.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 548. Problem Solving for Bioinformatics. 3 Credit Hours.
Grand challenges, solutions, and emerging opportunities in bioinformatics. PERL programming from the most basic to advanced contents such as multidimensional array, regular expression, hash, and sorting. Theories and hands-on projects in 3D genome structure inference, protein secondary structure prediction, protein tertiary structure prediction, protein model quality assessment, protein function prediction, and biological network analysis. Analysis of real-world biomedical data. Applications of machine learning algorithms.
Components: LEC.
Grading: GRD.
Typically Offered: Spring.
CSC 549. Biomedical Data Science. 3 Credit Hours.
The computational skills needed for analysis of genomic and biomedical data sets, including: The basics of a command line interface; programming in (bio-)python; running programs on Pegasus2; writing scripts for downloading, manipulating, and analyzing data; file sharing and version control using github; analyzing a Next Generation Sequencing data set, and interpreting the results; and responsible conduct of Research.
Prerequisite: CSC 120 and BIL 150.
Components: LEC.
Grading: GRD.
Typically Offered: Fall.
CSC 550. Computational Neuroscience. 3 Credit Hours.
Introduction to computational neuroscience. Analysis and modeling of neural systems. Neurons, populations of neurons, perception, behavior. Connections to machine learning. Tutorials in Matlab.
Prerequisite: MTH 162 and MTH 224.
Components: LEC.
Grading: GRD.
Typically Offered: Spring.
CSC 552. Bioinformatics Tools. 3 Credit Hours.
Databases and tools of bioinformatics, as relevant to research in genomics and molecular biology. Bioinformatics applications. Information retrieval, analytical tools, BLAST searches, promoter analysis, and protein structure- function analysis, and various applications.
Prerequisite: BIL 250 or BIL 150.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 555. Multimedia Systems. 3 Credit Hours.
Specification and requirements of a multimedia hardware system. Multimedia data technologies. Graphics file formats. Compression and decompression. Multimedia application development.
Prerequisite: CSC 317.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 595. Topics in Computer Science. 1-3 Credit Hours.
Topics in Computer Science - content varies by semester.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 596. Topics in Computer Science. 1-3 Credit Hours.
Topics in Computer Science - content varies by semester.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 597. Topics in Computer Science. 1-3 Credit Hours.
Topics in Computer Science - content varies by semester.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 598. Topics in Computer Science. 1-3 Credit Hours.
Topics in Computer Science - content varies by semester.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
CSC 599. Topics in Computer Science. 1-3 Credit Hours.
Topics in Computer Science - content varies by semester.
Components: THI.
Grading: GRD.
Typically Offered: Offered by Announcement Only.
