1.Programming in C and C++

• Course Title: Programming in C and C++
• Degree Programme: M.Sc. Bioinformatics
• The main objectives of this course are to provide M.Sc. Bioinformatics students with a strong foundation in programming principles and skills relevant to computational biology. It aims to help students understand the basic aspects of programming while developing an in-depth understanding of functional, logical, and object-oriented programming paradigms. The course also emphasizes the use of fundamental programming constructs such as sequencing, decision-making, and iteration. Additionally, it is designed to enhance problem-solving abilities and programming proficiency using the C and C++ programming languages, thereby equipping students with essential computational tools for bioinformatics research and applications.

2.Practical-II Computer Programming

• Course Title: Practical-II Computer Programming
• Degree Programme: M.Sc. Bioinformatics
• The objectives of Practical-II Computer Programming is to provide students with hands-on experience in writing, compiling, and executing computer programs. This subject helps students develop problem-solving skills by applying programming concepts to real-life scenarios. It enhances logical thinking, algorithmic approach, and debugging abilities. Through practical exercises, students gain confidence in implementing structured and modular programming techniques. It also equips them with essential skills to design efficient and optimized programs. Overall, this subject prepares students for advanced courses, projects, and careers where computational skills are crucial.

3.Perl and Python Programming for Bioinformatics

• Course Title: Perl and Python Programming for Bioinformatics
• Degree Programme: M.Sc. Bioinformatics
• The objectives of Perl and Python Programming for Bioinformatics is to train students in applying powerful scripting languages to solve biological data problems. This subject helps students understand how to process, analyze, and visualize large-scale biological datasets efficiently. It develops skills in writing scripts for sequence analysis, pattern matching, data mining, and file handling. By learning both Perl and Python, students gain flexibility in choosing the right tools for specific bioinformatics tasks. The course enhances logical thinking, problem-solving, and computational approaches to biological research. Ultimately, it equips students with practical skills essential for modern bioinformatics and research-based careers.

4.Visual Basic .NET with RDBMS

• Course Title: Visual Basic .NET with RDBMS
• Degree Programme: M.Sc. Bioinformatics
• The objective of Visual Basic .NET with RDBMS is to provide students with the knowledge and skills to develop interactive applications integrated with database systems. This subject introduces the concepts of GUI-based programming using VB.NET along with relational database design and management. It helps students learn how to connect, query, and manipulate data efficiently through SQL commands. By implementing database-driven applications, students gain practical experience in handling real-world data storage and retrieval. The course enhances problem-solving, logical design, and application development abilities. Ultimately, it prepares students for careers in software development, database management, and enterprise application programming.

5.Practical-IV Biological Sequence Analysis and Computer Aided Drug Design

• Course Title: Practical-IV Biological Sequence Analysis and Computer Aided Drug Design
• Degree Programme: M.Sc. Bioinformatics
• The objective of this practical course is to provide students with hands-on experience in analyzing biological sequences and applying computational tools for drug discovery. It introduces methods for sequence alignment, database searching, and identification of conserved regions in DNA and proteins. Students gain skills in using bioinformatics tools for gene/protein analysis and molecular docking approaches in drug design. The course enhances understanding of how computational techniques accelerate the discovery of therapeutic targets and drug candidates. It develops analytical thinking, problem-solving, and research-oriented skills. Ultimately, it equips students with practical expertise relevant to modern bioinformatics and pharmaceutical research.

6.Molecular Modelling

• Course Title: Molecular Modelling
• Degree Programme: M.Sc. Bioinformatics
• The objective of Molecular Modelling is to provide students with a comprehensive understanding of computational techniques used to study molecular structure, properties, and interactions. This subject introduces methods such as molecular mechanics, quantum mechanics, and simulations to predict molecular behavior. Students learn to visualize, analyze, and interpret biomolecular structures and chemical compounds using computational tools. It enhances problem-solving skills by applying theoretical knowledge to practical drug design and biomolecular research. The course also emphasizes accuracy, efficiency, and innovation in predicting molecular activity. Ultimately, it prepares students for research and applications in drug discovery, structural biology, and computational chemistry.

7.Principles of Drug Discovery

• Course Title: Principles of Drug Discovery (Supportive)
• Degree Programme: Supportive Course offered for other Departments
• • The objective of Drug Design is to provide students with knowledge of the principles and techniques involved in discovering and developing new therapeutic agents. This subject introduces concepts such as lead identification, structure–activity relationship (SAR), molecular docking, and pharmacophore modeling. Students learn how computational and experimental approaches are integrated to optimize drug candidates for efficacy and safety. It enhances analytical and problem-solving skills by applying chemistry, biology, and computational tools to real-world drug discovery challenges. The course also emphasizes modern strategies like computer-aided drug design (CADD) and rational drug development. Ultimately, it equips students with practical and theoretical insights essential for pharmaceutical research and innovation.

8.Bioinformatics Algorithm and Machine Learning

• Course Title: JOC- Bioinformatics Algorithm and Machine Learning
• Degree Programme: M.Sc. Bioinformatics
• The objective of this course is to introduce students to algorithms and machine learning techniques applied in bioinformatics for analyzing complex biological data. It covers fundamental algorithms for sequence alignment, clustering, classification, and pattern recognition. Students learn how to apply supervised and unsupervised machine learning methods to genomic, proteomic, and transcriptomic datasets. The course enhances problem-solving, logical reasoning, and computational thinking in the context of biological sciences. Through practical exercises, students gain experience in building predictive models and extracting meaningful insights from biological information. Ultimately, it prepares students for advanced research and applications in computational biology, drug discovery, and precision medicine.

9.Computer Programming for Cheminformatics

• Course Title: Computer Programming for Cheminformatics
• Degree Programme: PG Diploma in Cheminformatics
• The objective of Computer Programming for Cheminformatics is to train students in applying programming skills to store, analyze, and interpret chemical data. This subject introduces methods for handling chemical structures, molecular properties, and databases using programming approaches. It helps students develop algorithms for virtual screening, QSAR modeling, and molecular similarity analysis. Through practical exercises, students gain experience in integrating computational chemistry with informatics tools. The course enhances logical thinking, problem-solving, and data-handling abilities in the context of chemical sciences. Ultimately, it equips students with computational expertise essential for drug discovery, chemical research, and pharmaceutical industries.

10.Cheminformatics Database Design and Their Management

• Course Title: Cheminformatics Database Design and Their Management
• Degree Programme: PG Diploma in Cheminformatics
• The objective of this course is to provide students with knowledge and practical skills in designing, building, and managing databases specific to chemical and molecular data. It introduces the principles of database architecture, normalization, and relational models with a focus on cheminformatics applications. Students learn to store, retrieve, and organize chemical structures, properties, and experimental results effectively. The course emphasizes the use of database management systems (DBMS) and query languages for chemical data analysis. It enhances problem-solving and data-handling skills while ensuring accuracy and efficiency in chemical research. Ultimately, it prepares students to manage large-scale chemical databases essential for drug discovery, pharmaceutical industries, and research projects.

11.Practical-I Computer Programming

• Course Title: Practical-I Computer Programming
• Degree Programme: PG Diploma in Cheminformatics
• The objective of Practical Computer Programming is to develop students’ ability to write, compile, and execute programs for solving real-world problems. This subject focuses on applying programming concepts such as variables, loops, functions, and data structures through hands-on practice. It helps students strengthen logical thinking, algorithm development, and debugging skills. By working on practical exercises, they gain confidence in structured and modular programming approaches. The course also introduces problem-solving techniques that prepare students for advanced computing applications. Ultimately, it equips students with essential computational skills needed in academics, research, and industry.