Software design and development, idea incubation to product delivery, design strategies, and project management methodologies

Modern web systems and technologies, front end and back end

Cryptographic functions and protocols, threats and defenses for real-world systems, incident response, and computer forensics

Theory of computation, finite state machines, Turing machines, decidable and undecidable problems, polynomial time computability and paradigms of algorithm design, computational complexity, and cryptography

Computer architecture, assembly-language programs, performance evaluation, pipelining, caches, virtual memory, and input/output

Lists, stacks, queues, priority queues, hash tables, binary trees, search trees, balanced trees and graphs, searching and sorting algorithms, recursive algorithms, basic graph algorithms, greedy algorithms and divide and conquer strategy

Algorithm development and effective programming, structured programming, scope, recursion, abstract data types, parameter passing methods, pointers, linked data structures, stacks, queues, arrays, records, and trees

Propositional and predicate logic, proof methods, set theory, functions, sequences and summations, introduction to algorithms, growth of functions and asymptotic notation, mathematical induction, counting, pigeonhole principle, permutations and combinations, relations and their properties, closure of relations, partial orderings, and introduction to graph theory

Introductory course to computer science and programming, basics of computing, problem-solving, and algorithmic thinking

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