Bachelors Program in Computer Science

Course Description:

The Bachelors Program in Computer Science focuses on the theoretical and practical aspects of computing and software development. The curriculum covers a wide range of topics, including algorithms, data structures, software engineering, and artificial intelligence. Students engage in both individual and collaborative projects that enhance their programming skills and computational thinking. By emphasizing a deep understanding of core principles, the program prepares graduates to tackle complex programming challenges and develop innovative software solutions.

Alongside technical training, students are encouraged to explore emerging technologies and industry trends through internships and hands-on experiences. The Bachelors Program in Computer Science aims to produce versatile professionals capable of adapting to the rapid changes in the tech industry and contributing to advancements in software development, research, and applications.

Educational Goals:

  • Develop Strong Programming Skills: Equip students with proficiency in multiple programming languages and paradigms.
  • Enhance Analytical Thinking: Foster the ability to approach problems logically and devise efficient algorithms.
  • Understand Software Development Methodologies: Provide knowledge of various approaches to software design and development.
  • Promote Research Skills: Encourage inquiry and exploration of new technologies and methodologies in computer science.
  • Cultivate Collaboration Skills: Develop teamwork capabilities through group projects and peer programming.
  • Instill Ethical Awareness: Highlight the ethical implications of computing and the importance of responsible technology use.

Professional Paths:

  • Software Engineer: Design, develop, and maintain software applications and systems.
  • Web Developer: Create and manage websites, focusing on both user interface and server-side functionality.
  • Data Scientist: Analyze and interpret complex data to support decision-making and strategy.
  • Machine Learning Engineer: Develop algorithms and models that enable computers to learn from data.
  • Systems Architect: Design and optimize complex IT systems to meet organizational needs.
  • Game Developer: Create and design video games, focusing on gameplay mechanics and user experience.

Semester 1:

  • Introduction to Computer Science  
  • C Programming  
  • Digital Electronics  
  • Mathematics for Computer Science  
  • Web Technologies  
  • Lab: Programming in C  

Semester 2:

  • Data Structures and Algorithms  
  • Object-Oriented Programming (C++)  
  • Computer Networks  
  • Operating Systems  
  • Elective: Cybersecurity Basics  
  • Lab: OOP with C++  

Semester 3:

  • Database Management Systems  
  • Software Engineering  
  • Internet of Things  
  • Cloud Computing  
  • Elective: Mobile Computing  
  • Lab: DBMS  

Semester 4:

  • Machine Learning  
  • Artificial Intelligence  
  • Data Communication  
  • Elective: Blockchain Technology  
  • Lab: AI Projects (using TensorFlow, Google Colab)

Semester 5:

  • Data Mining  
  • Deep Learning  
  • Web Application Development  
  • Elective: Advanced Networking  
  • Lab: Web Development (React, Angular)

Semester 6:

  • Big Data Analytics  
  • Advanced Software Development  
  • Cloud Security  
  • Final Year Project  
  • Lab: Big Data Applications (Hadoop/Spark)
  • Duration3 Years
  • Eligibility10+2 or equivalent
  • LevelGraduate