| Course ID & Name | Topics discussed or Tools used |
| Advanced Programming | Advanced programming concepts using C++, JAVA and Python |
| Statistical Inference | This course presents the fundamentals of inference in a practical approach for getting things done. The course focuses on statistical modelling, data-oriented strategies and explicit use of designs and randomization in analyses. |
| Modelling and Simulation | This course introduces modelling methods and simulation tools. It provides a basic guideline towards different methodologies that can be applied to solve any kind of problem. |
| Internet Programming | Focus is on building Webapps. Tools discussed and used during this course include HTML, CSS, JavaScript, PHP, Ajax, XML, ASP.Net, etc |
| Software Metrics | This course is a step by step description of the software metrics. It includes introduction to foundations of measurement theory, models of software engineering measurement, software products metrics, software process metrics and measuring management. |
| Network Programming | The course focuses on how to create programs that communicate over the internet. |
| Data Communication & Computer Networks | Topics discussed include layered network architecture, Link Layer protocols, high-speed packet switching, queueing theory, Local Area Networks, and Wide Area Networking issues, Wireless and GSM Networking, including routing and flow control. |
| Advanced Network Security | We discuss and simulate various aspects of network security: Bot and Botnets, DoS attacks, DNS security, Email spam, IP prefix hijacking, Network Intrusion Detection and prevention, On-line Authentication, Phishing attacks, Security inside Cloud, Spyware/Malware, TCP misbehaviors, Web security, and VoIP security |
| Network Forensics | covers the basic concepts of evidence handling, networking, and evidence acquisition, traffic analysis, network Devices and Servers, Network Tunneling, Malware Forensics |
| Network Performance Evaluation | We discuss how to select appropriate evaluation techniques, performance metrics and workloads for a system. How to conduct performance measurements correctly. Hot to use proper statistical techniques to compare several alternatives. Design measurement and simulation experiments to provide the most information with the least effort. Use of simple queuing models to analyze the performance of systems. |
| CCNP | A practical course on Advanced Networking Concepts |