Course Structure Overview
The Bachelor of Science program at Sri Gayatri Vidya Parishd Degree College Prakasam is structured over eight semesters, with each semester comprising a mix of core science courses, departmental electives, science electives, and laboratory sessions. The curriculum is designed to provide a solid foundation in fundamental sciences while allowing students to explore specialized areas of interest. The program emphasizes both theoretical knowledge and practical skills, with a strong focus on research and innovation.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | SC101 | General Chemistry | 3-0-3-4 | None |
| 1 | SC102 | Physics | 3-0-3-4 | None |
| 1 | SC103 | Mathematics | 3-0-3-4 | None |
| 1 | SC104 | Biology | 3-0-3-4 | None |
| 1 | SC105 | Lab Practices | 0-0-6-2 | None |
| 2 | SC201 | Organic Chemistry | 3-0-3-4 | SC101 |
| 2 | SC202 | Physical Chemistry | 3-0-3-4 | SC101 |
| 2 | SC203 | Genetics | 3-0-3-4 | SC104 |
| 2 | SC204 | Cell Biology | 3-0-3-4 | SC104 |
| 2 | SC205 | Lab Practices | 0-0-6-2 | SC105 |
| 3 | SC301 | Quantum Mechanics | 3-0-3-4 | SC102 |
| 3 | SC302 | Statistical Physics | 3-0-3-4 | SC102 |
| 3 | SC303 | Bioinformatics | 3-0-3-4 | SC203 |
| 3 | SC304 | Environmental Science | 3-0-3-4 | SC104 |
| 3 | SC305 | Lab Practices | 0-0-6-2 | SC205 |
| 4 | SC401 | Advanced Mathematics | 3-0-3-4 | SC103 |
| 4 | SC402 | Computational Methods | 3-0-3-4 | SC103 |
| 4 | SC403 | Neuroscience | 3-0-3-4 | SC204 |
| 4 | SC404 | Marine Biology | 3-0-3-4 | SC104 |
| 4 | SC405 | Lab Practices | 0-0-6-2 | SC305 |
| 5 | SC501 | Biotechnology | 3-0-3-4 | SC201 |
| 5 | SC502 | Materials Science | 3-0-3-4 | SC101 |
| 5 | SC503 | Psychology | 3-0-3-4 | SC104 |
| 5 | SC504 | Biophysics | 3-0-3-4 | SC102 |
| 5 | SC505 | Lab Practices | 0-0-6-2 | SC405 |
| 6 | SC601 | Quantitative Finance | 3-0-3-4 | SC401 |
| 6 | SC602 | Data Science | 3-0-3-4 | SC401 |
| 6 | SC603 | Machine Learning | 3-0-3-4 | SC402 |
| 6 | SC604 | Research Methods | 3-0-3-4 | SC103 |
| 6 | SC605 | Lab Practices | 0-0-6-2 | SC505 |
| 7 | SC701 | Capstone Project | 0-0-6-4 | SC604 |
| 7 | SC702 | Advanced Elective I | 3-0-3-4 | SC604 |
| 7 | SC703 | Advanced Elective II | 3-0-3-4 | SC604 |
| 7 | SC704 | Advanced Elective III | 3-0-3-4 | SC604 |
| 7 | SC705 | Lab Practices | 0-0-6-2 | SC605 |
| 8 | SC801 | Final Thesis | 0-0-6-6 | SC701 |
| 8 | SC802 | Internship | 0-0-6-2 | SC701 |
| 8 | SC803 | Advanced Elective IV | 3-0-3-4 | SC701 |
| 8 | SC804 | Advanced Elective V | 3-0-3-4 | SC701 |
| 8 | SC805 | Lab Practices | 0-0-6-2 | SC705 |
Advanced Departmental Elective Courses
The department offers a range of advanced departmental elective courses that allow students to explore specialized areas of interest and gain in-depth knowledge in their chosen fields. These courses are designed to build upon the foundational knowledge acquired in earlier semesters and provide students with the opportunity to engage in advanced research and practical applications.
Biotechnology: This course provides an in-depth understanding of biotechnology principles and applications. Students learn about recombinant DNA technology, gene therapy, protein engineering, and bioprocess development. The course includes laboratory sessions on molecular biology techniques, fermentation, and bioreactor design.
Environmental Science: This course explores the impact of human activities on the environment and develops strategies for environmental conservation. Students study pollution control, climate change, biodiversity, and sustainable development. The course includes fieldwork and data analysis projects related to environmental monitoring and assessment.
Computational Science: This course introduces students to computational methods and their applications in science and engineering. Students learn about numerical methods, scientific computing, data analysis, and programming. The course includes hands-on sessions on Python, MATLAB, and R.
Physics and Astronomy: This course provides a comprehensive understanding of physics and astronomy principles. Students study quantum mechanics, electromagnetism, thermodynamics, and astrophysics. The course includes laboratory sessions on experimental physics and simulations.
Chemistry and Materials Science: This course explores the structure, properties, and applications of materials. Students study inorganic and organic chemistry, physical chemistry, and materials characterization. The course includes laboratory sessions on synthesis and analysis of materials.
Mathematics and Statistics: This course provides a strong foundation in mathematical and statistical methods. Students study calculus, linear algebra, probability, and statistical inference. The course includes applications in data analysis, modeling, and optimization.
Psychology and Cognitive Science: This course explores the human mind and behavior through scientific inquiry. Students study cognitive psychology, developmental psychology, research methods, and neuropsychology. The course includes laboratory work in experimental psychology and data analysis.
Marine Biology and Oceanography: This course focuses on marine ecosystems and oceanographic processes. Students study marine ecology, oceanography, marine conservation, and aquaculture. The course includes fieldwork in coastal and marine environments.
Neuroscience: This course combines biology, psychology, and neuroscience to understand the structure and function of the nervous system. Students study neuroanatomy, neurophysiology, cognitive neuroscience, and neuropharmacology. The course includes laboratory work in electrophysiology and brain imaging.
Biophysics: This course integrates physics principles with biological systems to understand the physical mechanisms underlying life processes. Students study biophysical methods, molecular biophysics, and structural biology. The course includes laboratory work using advanced instruments such as X-ray crystallography and NMR spectroscopy.
Quantitative Finance: This course prepares students for careers in financial markets, risk management, and investment analysis. Students study financial mathematics, derivatives, econometrics, and computational finance. The course includes access to financial databases and software for data analysis and modeling.
Project-Based Learning Approach
The department emphasizes project-based learning to foster critical thinking, innovation, and practical skills. Students are encouraged to engage in research projects from their early semesters, with the goal of developing a deep understanding of scientific principles and their applications.
Mini-projects are conducted in the second and third semesters, where students work in teams to solve real-world problems or explore scientific concepts. These projects are supervised by faculty mentors and are evaluated based on the quality of research, presentation, and practical implementation.
The final-year thesis/capstone project is a comprehensive endeavor that allows students to synthesize their knowledge and skills in a specialized area. Students select a research topic under the guidance of a faculty mentor, conduct independent research, and present their findings in a thesis and defense.
The evaluation criteria for these projects include research methodology, data analysis, presentation skills, and the ability to communicate complex scientific concepts. Students are also assessed on their ability to work collaboratively, manage time effectively, and demonstrate ethical responsibility in scientific research.