“Companies spend millions of dollars on firewalls, encryption, and secure access devices, and its money wasted; none of these measures address the weakest link in the security chain.” – Kevin Mitnick
In-depth concepts of computer networks and with technical foundations of the Internet. Topics to cover include overview of network models, architectures, applications, network programming interfaces, protocols and algorithms.
Fundamental concepts and applied methods of computer security that addresses various confidentiality, integrity, and availability related challenges associated to data, system, and network assets.
Principles of computer security and understand how various security attacks and countermeasures work. Hands-on experience in playing with security software and network systems, with the purpose of understating real-world threats.
Design, implementation, complexity and limitations of algorithms. Discussion on the motivation behind the study of algorithms, the methods used in the analysis of algorithms, and how to show algorithm correctness.
Design, implementation, complexity and limitations of algorithms. Discussion on the motivation behind the study of algorithms, the methods used in the analysis of algorithms, and how to show algorithm correctness.
Principles of computer security and understand how various security attacks and countermeasures work. Hands-on experience in playing with security software and network systems, with the purpose of understating real-world threats.
Design, implementation, complexity and limitations of algorithms. Discussion on the motivation behind the study of algorithms, the methods used in the analysis of algorithms, and how to show algorithm correctness.
Design, implementation, complexity and limitations of algorithms. Discussion on the motivation behind the study of algorithms, the methods used in the analysis of algorithms, and how to show algorithm correctness.
Principles of computer security and understand how various security attacks and countermeasures work. Hands-on experience in playing with security software and network systems, with the purpose of understating real-world threats.
Design, implementation, complexity and limitations of algorithms. Discussion on the motivation behind the study of algorithms, the methods used in the analysis of algorithms, and how to show algorithm correctness.
Design, implementation, complexity and limitations of algorithms. Discussion on the motivation behind the study of algorithms, the methods used in the analysis of algorithms, and how to show algorithm correctness.
Principles of data communications systems, emphasizing switched, broadcast, and local area networks. Topics include transmissions techniques, encoding, multiplexing, flow control, error control and networking techniques.
Requirements analysis and specifications, architectural design and detailed software design. Implementation, testing and maintenance issues of a substantial software system, project scheduling, personnel management, effort estimation and risk management.
Design, implementation, complexity and limitations of algorithms. Discussion on the motivation behind the study of algorithms, the methods used in the analysis of algorithms, and how to show algorithm correctness.
Broad overview of the field of cybersecurity. Crosscutting concepts in Cybersecurity by looking into the field of software security, component security, connection security, system security, human security, organizational security and societal security.
Principles of computer science research. Reading and presenting current research literature, formulating research problems, conducting a literature search using both library and internet resources, and writing up the results of scientific inquiry. Additionally, social, ethical and legal issues in computing.
Design, implementation, complexity and limitations of algorithms. Discussion on the motivation behind the study of algorithms, the methods used in the analysis of algorithms, and how to show algorithm correctness.
Introduction to and preliminary investigation of the fundamental concepts of computer science. An overview of computer science sub-disciplines such as algorithms (problem solving), artificial intelligence, computer organization and architecture, languages, operating systems, networks, software engineering (programming concepts) and databases.
Design, implementation, complexity and limitations of algorithms. Discussion on the motivation behind the study of algorithms, the methods used in the analysis of algorithms, and how to show algorithm correctness.
Broad overview of the field of cybersecurity. Crosscutting concepts in Cybersecurity by looking into the field of software security, component security, connection security, system security, human security, organizational security and societal security.
Interaction of computer hardware and software, application of microcomputers, the use of productivity software (word processing, spreadsheet management, file management, and presentation software), internet and electronic mail applications.
Structure and organization of modern computers, digital logic, sequential and combinational circuits, assembly language programming, basic machine organization, data representation, memory organization, fundamentals of input and output, and introduction to parallel architectures.
Interaction of computer hardware and software, application of microcomputers, the use of productivity software (word processing, spreadsheet management, file management, and presentation software), internet and electronic mail applications.
A hands-on study of microcomputer software packages for applications such as operating system, word processing, spreadsheets, and database management.
Introduction to Software Engineering covering Software Process Model, Software Analysis and Specification, Software Design and Software Testing.
A course on standard algorithm techniques including dynamic programming, greedy algorithms, divide and conquer, backtracking, graph and randomized algorithms.
A first course in programming for IT majors. Syntax and semantics of Java. Classes and Objects. Object oriented program development.
A hands-on study of microcomputer software packages for applications such as operating system, word processing, spreadsheets, and database management.
Taught the fundamental concepts of Java programming (2018), algorithms (2017), data mining (2016) and web programming (2015).
Guided the students in preparation and presentation of their research findings.
Guided the teachers to translate their research experiences and new scientific knowledge into their classroom activities and curricula.
In addition to TA responsibilities, led and mentored weekly planning meetings, coordinated with the professor, and acted as a liaison between all teaching assistants and the professor.