graph traversal and asymptotic analysis) and basic background in logic (e.g. In addition to programming, this course will also focus on best practices and aspects of software development such as software design and software testing. CIT 591 Introduction to Software Development Introduction to fundamental concepts of programming and computer science. The course starts off with an introduction to modern programming languages and … This course provides a rigorous and hands-on introduction to the field of software analysis — a body of powerful techniques and tools for analyzing modern software, with applications to systematically uncover insidious bugs, prevent security vulnerabilities, automate testing and debugging, and improve our confidence that software will behave as intended. PENN ENGINEERING ©2017 | UNIVERSITY OF PENNSYLVANIA
Topics covered include dynamic analysis, random testing, automated test generation, dataflow analysis, constraint solving, type inference, and symbolic execution. Also provides an introduction to basic data science techniques using Python. Suggested prerequisite: Undergraduate course in linear algebra (helpful but not required) Suggested preparation: Chapters 1 through 4 of Schaums Outline of Linear Algebra, fourth version. Software Development, Data Structures and Algorithms: CIT-591: This course covers introductory programming and provides students with knowledge of software development tools and techniques.
Prerequisites: Calculus. MCIT Online students must complete four graduate-level electives. Principles of modern object-oriented programming languages: abstraction, types, polymorphism, encapsulation, inheritance, and interfaces. Report accessibility issues and get help, Online Learning | online-learning@seas.upenn.edu | 215-573-0655 (voicemail only), Site Map | For website issues, email the webmaster. This course introduces students to math concepts that form the backbone of the majority of computer science. Lectures present software analysis concepts and algorithms in a language-independent manner, while weekly programming labs involve realizing them concretely in C++ using the LLVM compiler infrastructure. Prerequisite: This course does not have prerequisites, but CIT 591 is a co-requisite. Students will also learn how to read and write to files, connect to databases, and use regular expressions to parse text. Online Learning | online-learning@seas.upenn.edu | 215-573-0655
CIT-594: This course builds upon CIT-591 and covers advanced programming techniques, data structures and … This course will enable you to become a better software engineer or security analyst by learning a rich repertoire of software analysis ideas and know-how to apply them to specific scenarios in practice. MCIT Online requires the completion of ten courses comprised of six core courses and four electives.
CIS 549 Wireless Communications for Mobile Networks and Internet of Things. Enrollment in this course is limited to MCIT students. CIT 591 Introduction to Software Development; CIT 592 Mathematical Foundations of Computer Science; CIT 593 Introduction to Computer Systems; CIT 594 Data Structures & Software Design; CIT 595 Computer Systems Programming; CIT 596 Algorithms & Computation; It is recommended that students take the core courses in sequential order. Additional elective courses planned for development include: Artificial Intelligence, Blockchain and more. The course starts off with an introduction to data structures and basics of the analysis of algorithms. Site Map | For website issues, email the webmaster
The goal of the course is to ensure that students are comfortable enough with the math required for most of the CIS electives. CIT 592 Mathematical Foundations of Computer Science. The second half of the course provides an introduction to fundamental concepts in the design and implementation of networked systems, their protocols, and applications. The simulation platform provides network protocol stacks and base source code. This course is an introduction to fundamental concepts of programming and computer science. CIT 591 Introduction to Software Development This course is an introduction to fundamental concepts of programming and computer science for students who have little or no experience in these areas. This course provides an introduction to the broad field of information management systems, covering a range of topics relating to structured data, from data modeling to logical foundations and popular languages, to system implementations. It is recommended that students take the core courses in sequential order. CIT 591: Introduction to Software Development; CIT 594: Data Structures and Software Design; CIS 557: Programming for the Web; Fundamentals of Programming (Lehigh U) Programming & Data Structures (Lehigh U) Survey of Computer Science: Introduction to Computational Thinking (Lehigh U) Mobile programming (Lehigh U)
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