Application of technical and professional skills in solving a real-world problem in a team environment. Professional code of conduct, intellectual property, patents and copyrights, legal and ethical issues, entrepreneurship, and transition from student to software engineering professional.

Software quality metrics associated with process and product metrics. Examines development of software using various types of metrics and models employed in the field of software engineering.

Signals, access protocols, application requirements, and security issues with a focus on digital data transfer.

Application of technical and professional skills in solving a real-world problem in a team environment. Topics include professional code of conduct, intellectual property, patents and copyrights, legal and ethical issues, entrepreneurship, and transition from student to software engineering professional.

Software quality attainment through software testing and other alternatives to quality assurance, including process improvement, inspection, fault tolerance, and reliability assurance.

Techniques for developing applications and services to run on distributed networks using virtualized resources accessed over the Internet.

Software construction tools and practice, including software development environments, object-oriented programming, software specification, automated testing, version control, and build management for software systems.

Fundamental algorithms and computational models for core tasks in natural language processing. Word and sentence tokenization, parsing, information and meaning extraction, spelling correction, text summarization, question answering, and sentiment analysis.

Advanced methods and techniques to initiate, plan, and control large and complex software development projects. Emphasis is placed on various Agile approaches.

Mathematical techniques and algorithms for image sampling, quantization, intensity transformations, spatial filtering, Fourier transforms, frequency domain filtering, restoration and reconstruction, morphological image processing, and segmentation.

Computing in environments with limited resources and low power, fault tolerance, and persistence. Mobile application frameworks and development environments. User interface design and evaluating user experience.

Designing iterative development processes, modeling and analysis of software systems, object-oriented design, and design patterns using C#.

Relational database systems theory and database development. Topics include relational data model and integrity constraints specification, data modeling and relational schema design, normalization of relational schema, relational algebra, SQL, and database programming.

Practice in writing about technical problems of significance to students.

Design and analysis of computer communication networks. Topics include application layer protocols, Internet protocols, network interfaces, local and wide area networks, wireless networks, bridging and routing.

Methods and processes for eliciting, evaluating, managing, analyzing, documenting, and specifying software-intensive systems for achieving objectives, functions, qualities, and constraints.

Design and analysis of algorithms using recursion, dynamic programming, and branch and bound. Solving computational problems using maps, hash tables, skip lists, and graph data structures.

Introduction to data structures and their implementation. Computational problem-solving using data structures.

Fundamentals of discrete mathematics, including logic and elementary proofs, sequences, induction and recursion, sets and relations, and elementary number theory. Application of discrete mathematical concepts to solving software engineering problems.

Introduction to modern software engineering and computational problem-solving using object-oriented principles and a high-level programming language.

Institution : Microsoft

Designed for beginners, providing a comprehensive introduction to Python and fundamental programming concepts. It covers Python syntax, control structures, functions, error handling, and file operations through interactive exercises and projects. This self-paced course, ideal for those new to programming, offers a flexible learning path complemented by a certificate of completion from Microsoft.

Date of Completion : July 31st, 2019