Comprehensive Course Structure for Bachelor Of Science Program
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
---|---|---|---|---|
1 | PHY101 | Introduction to Physics | 3-1-0-4 | - |
1 | CHE101 | Introduction to Chemistry | 3-1-0-4 | - |
1 | BIO101 | Introduction to Biology | 3-1-0-4 | - |
1 | MAT101 | Calculus I | 3-1-0-4 | - |
1 | MAT102 | Linear Algebra | 3-1-0-4 | - |
1 | PHY102 | Physics Laboratory | 0-0-3-1 | PHY101 |
1 | CHE102 | Chemistry Laboratory | 0-0-3-1 | CHE101 |
1 | BIO102 | Biology Laboratory | 0-0-3-1 | BIO101 |
1 | MAT103 | Calculus II | 3-1-0-4 | MAT101 |
2 | PHY201 | Classical Mechanics | 3-1-0-4 | PHY101 |
2 | CHE201 | Organic Chemistry | 3-1-0-4 | CHE101 |
2 | BIO201 | Genetics | 3-1-0-4 | BIO101 |
2 | MAT201 | Differential Equations | 3-1-0-4 | MAT101 |
2 | MAT202 | Probability and Statistics | 3-1-0-4 | MAT101 |
2 | PHY202 | Modern Physics | 3-1-0-4 | PHY101 |
2 | CHE202 | Inorganic Chemistry | 3-1-0-4 | CHE101 |
2 | BIO202 | Cell Biology | 3-1-0-4 | BIO101 |
2 | PHY203 | Physics Laboratory II | 0-0-3-1 | PHY102 |
2 | CHE203 | Chemistry Laboratory II | 0-0-3-1 | CHE102 |
2 | BIO203 | Biology Laboratory II | 0-0-3-1 | BIO102 |
3 | PHY301 | Quantum Mechanics | 3-1-0-4 | PHY201 |
3 | CHE301 | Physical Chemistry | 3-1-0-4 | CHE201 |
3 | BIO301 | Molecular Biology | 3-1-0-4 | BIO201 |
3 | MAT301 | Mathematical Methods | 3-1-0-4 | MAT201 |
3 | MAT302 | Advanced Statistics | 3-1-0-4 | MAT202 |
3 | PHY302 | Electromagnetism | 3-1-0-4 | PHY201 |
3 | CHE302 | Chemical Kinetics | 3-1-0-4 | CHE201 |
3 | BIO302 | Biotechnology | 3-1-0-4 | BIO201 |
3 | PHY303 | Quantum Laboratory | 0-0-3-1 | PHY203 |
3 | CHE303 | Chemistry Laboratory III | 0-0-3-1 | CHE203 |
3 | BIO303 | Biology Laboratory III | 0-0-3-1 | BIO203 |
4 | PHY401 | Thermodynamics | 3-1-0-4 | PHY201 |
4 | CHE401 | Advanced Organic Chemistry | 3-1-0-4 | CHE301 |
4 | BIO401 | Genomics | 3-1-0-4 | BIO301 |
4 | MAT401 | Numerical Analysis | 3-1-0-4 | MAT301 |
4 | MAT402 | Mathematical Modeling | 3-1-0-4 | MAT301 |
4 | PHY402 | Optics | 3-1-0-4 | PHY201 |
4 | CHE402 | Environmental Chemistry | 3-1-0-4 | CHE301 |
4 | BIO402 | Ecology | 3-1-0-4 | BIO301 |
4 | PHY403 | Modern Physics Laboratory | 0-0-3-1 | PHY303 |
4 | CHE403 | Chemistry Laboratory IV | 0-0-3-1 | CHE303 |
4 | BIO403 | Biology Laboratory IV | 0-0-3-1 | BIO303 |
5 | PHY501 | Statistical Mechanics | 3-1-0-4 | PHY401 |
5 | CHE501 | Industrial Chemistry | 3-1-0-4 | CHE401 |
5 | BIO501 | Biostatistics | 3-1-0-4 | BIO401 |
5 | MAT501 | Advanced Mathematical Methods | 3-1-0-4 | MAT401 |
5 | MAT502 | Computational Mathematics | 3-1-0-4 | MAT401 |
5 | PHY502 | Condensed Matter Physics | 3-1-0-4 | PHY401 |
5 | CHE502 | Materials Chemistry | 3-1-0-4 | CHE401 |
5 | BIO502 | Systems Biology | 3-1-0-4 | BIO401 |
5 | PHY503 | Research Methods in Physics | 0-0-3-1 | PHY403 |
5 | CHE503 | Research Methods in Chemistry | 0-0-3-1 | CHE403 |
5 | BIO503 | Research Methods in Biology | 0-0-3-1 | BIO403 |
6 | PHY601 | Advanced Quantum Mechanics | 3-1-0-4 | PHY501 |
6 | CHE601 | Advanced Physical Chemistry | 3-1-0-4 | CHE501 |
6 | BIO601 | Advanced Molecular Biology | 3-1-0-4 | BIO501 |
6 | MAT601 | Advanced Mathematical Modeling | 3-1-0-4 | MAT501 |
6 | MAT602 | Machine Learning | 3-1-0-4 | MAT502 |
6 | PHY602 | Particle Physics | 3-1-0-4 | PHY501 |
6 | CHE602 | Pharmaceutical Chemistry | 3-1-0-4 | CHE501 |
6 | BIO602 | Advanced Biotechnology | 3-1-0-4 | BIO501 |
6 | PHY603 | Advanced Physics Laboratory | 0-0-3-1 | PHY503 |
6 | CHE603 | Advanced Chemistry Laboratory | 0-0-3-1 | CHE503 |
6 | BIO603 | Advanced Biology Laboratory | 0-0-3-1 | BIO503 |
7 | PHY701 | Research Project I | 0-0-6-6 | PHY603 |
7 | CHE701 | Research Project II | 0-0-6-6 | CHE603 |
7 | BIO701 | Research Project III | 0-0-6-6 | BIO603 |
7 | MAT701 | Research Project IV | 0-0-6-6 | - |
7 | PHY702 | Research Project V | 0-0-6-6 | PHY701 |
7 | CHE702 | Research Project VI | 0-0-6-6 | CHE701 |
7 | BIO702 | Research Project VII | 0-0-6-6 | BIO701 |
7 | MAT702 | Research Project VIII | 0-0-6-6 | MAT701 |
8 | PHY801 | Final Year Thesis | 0-0-6-6 | PHY702 |
8 | CHE801 | Final Year Thesis | 0-0-6-6 | CHE702 |
8 | BIO801 | Final Year Thesis | 0-0-6-6 | BIO702 |
8 | MAT801 | Final Year Thesis | 0-0-6-6 | MAT702 |
Advanced Departmental Elective Courses
The Bachelor of Science program at Kanumarla Rural Development And Educaiton Al Society Prakasam offers a wide range of advanced departmental elective courses that allow students to specialize in their chosen field of study. These courses are designed to provide students with in-depth knowledge and practical skills in their chosen area of interest. The following are some of the advanced departmental elective courses offered in the program:
Quantum Mechanics
The Quantum Mechanics course is designed to provide students with a comprehensive understanding of the fundamental principles of quantum mechanics and their applications in modern technology. The course covers topics such as wave-particle duality, Schrödinger equation, quantum states, and quantum measurement. Students will also learn about quantum computing and quantum information theory. The course includes laboratory sessions where students will perform experiments to understand the principles of quantum mechanics. The course is taught by Dr. Srinivas Reddy, a renowned expert in quantum mechanics and quantum computing.
Organic Chemistry
The Organic Chemistry course is designed to provide students with a deep understanding of the structure, properties, and reactions of organic compounds. The course covers topics such as stereochemistry, reaction mechanisms, and synthesis of organic compounds. Students will also learn about the applications of organic chemistry in pharmaceuticals and materials science. The course includes laboratory sessions where students will perform organic synthesis and characterization experiments. The course is taught by Dr. Priya Sharma, a leading expert in organic chemistry and nanotechnology.
Genetics
The Genetics course is designed to provide students with a comprehensive understanding of the principles of genetics and their applications in modern biology. The course covers topics such as Mendelian inheritance, molecular genetics, gene expression, and genetic engineering. Students will also learn about the applications of genetics in medicine and agriculture. The course includes laboratory sessions where students will perform genetic analysis and DNA sequencing experiments. The course is taught by Dr. Lakshmi Devi, a distinguished expert in molecular biology and genetics.
Differential Equations
The Differential Equations course is designed to provide students with a solid foundation in the theory and applications of differential equations. The course covers topics such as ordinary differential equations, partial differential equations, and their applications in physics and engineering. Students will also learn about numerical methods for solving differential equations. The course includes laboratory sessions where students will use computational tools to solve differential equations. The course is taught by Dr. Ramesh Kumar, a renowned expert in computational mathematics and algorithmic complexity.
Probability and Statistics
The Probability and Statistics course is designed to provide students with a comprehensive understanding of probability theory and statistical inference. The course covers topics such as probability distributions, hypothesis testing, regression analysis, and Bayesian inference. Students will also learn about the applications of statistics in data science and research. The course includes laboratory sessions where students will perform statistical analysis using software tools. The course is taught by Dr. Ramesh Kumar, a renowned expert in computational mathematics and algorithmic complexity.
Cell Biology
The Cell Biology course is designed to provide students with a comprehensive understanding of the structure and function of cells and their components. The course covers topics such as cell membrane, organelles, cell cycle, and cell signaling. Students will also learn about the applications of cell biology in medicine and biotechnology. The course includes laboratory sessions where students will perform cell culture and microscopy experiments. The course is taught by Dr. Lakshmi Devi, a distinguished expert in molecular biology and cell biology.
Physical Chemistry
The Physical Chemistry course is designed to provide students with a deep understanding of the physical principles underlying chemical processes. The course covers topics such as thermodynamics, kinetics, and quantum chemistry. Students will also learn about the applications of physical chemistry in materials science and nanotechnology. The course includes laboratory sessions where students will perform chemical analysis and spectroscopy experiments. The course is taught by Dr. Priya Sharma, a leading expert in physical chemistry and nanotechnology.
Biotechnology
The Biotechnology course is designed to provide students with a comprehensive understanding of the principles and applications of biotechnology. The course covers topics such as genetic engineering, recombinant DNA technology, and bioprocessing. Students will also learn about the applications of biotechnology in medicine, agriculture, and environmental science. The course includes laboratory sessions where students will perform biotechnology experiments and analyze data. The course is taught by Dr. Lakshmi Devi, a distinguished expert in molecular biology and biotechnology.
Mathematical Methods
The Mathematical Methods course is designed to provide students with a solid foundation in the mathematical tools and techniques used in scientific research. The course covers topics such as vector calculus, complex analysis, and linear algebra. Students will also learn about the applications of mathematical methods in physics and engineering. The course includes laboratory sessions where students will use computational tools to solve mathematical problems. The course is taught by Dr. Ramesh Kumar, a renowned expert in computational mathematics and algorithmic complexity.
Advanced Statistics
The Advanced Statistics course is designed to provide students with a comprehensive understanding of advanced statistical methods and their applications in research and industry. The course covers topics such as multivariate analysis, time series analysis, and machine learning. Students will also learn about the applications of advanced statistics in data science and artificial intelligence. The course includes laboratory sessions where students will perform advanced statistical analysis using software tools. The course is taught by Dr. Ramesh Kumar, a renowned expert in computational mathematics and algorithmic complexity.
Electromagnetism
The Electromagnetism course is designed to provide students with a comprehensive understanding of the principles of electromagnetism and their applications in modern technology. The course covers topics such as electric fields, magnetic fields, Maxwell's equations, and electromagnetic waves. Students will also learn about the applications of electromagnetism in telecommunications and energy systems. The course includes laboratory sessions where students will perform electromagnetic experiments and analyze data. The course is taught by Dr. Srinivas Reddy, a renowned expert in theoretical physics and electromagnetism.
Chemical Kinetics
The Chemical Kinetics course is designed to provide students with a deep understanding of the rates and mechanisms of chemical reactions. The course covers topics such as reaction rates, activation energy, and catalysis. Students will also learn about the applications of chemical kinetics in industrial processes and environmental science. The course includes laboratory sessions where students will perform kinetic analysis and reaction monitoring experiments. The course is taught by Dr. Priya Sharma, a leading expert in chemical kinetics and nanotechnology.
Ecology
The Ecology course is designed to provide students with a comprehensive understanding of the interactions between organisms and their environment. The course covers topics such as population dynamics, ecosystem structure, and conservation biology. Students will also learn about the applications of ecology in environmental management and policy. The course includes laboratory sessions where students will perform ecological surveys and data analysis. The course is taught by Dr. Anil Kumar, a leading expert in environmental science and climate change.
Research Methods in Physics
The Research Methods in Physics course is designed to provide students with a comprehensive understanding of the principles and practices of scientific research in physics. The course covers topics such as experimental design, data analysis, and scientific writing. Students will also learn about the ethical considerations in scientific research and the importance of reproducibility. The course includes laboratory sessions where students will conduct independent research projects. The course is taught by Dr. Srinivas Reddy, a renowned expert in theoretical physics and quantum computing.
Research Methods in Chemistry
The Research Methods in Chemistry course is designed to provide students with a comprehensive understanding of the principles and practices of scientific research in chemistry. The course covers topics such as experimental design, data analysis, and scientific writing. Students will also learn about the ethical considerations in scientific research and the importance of reproducibility. The course includes laboratory sessions where students will conduct independent research projects. The course is taught by Dr. Priya Sharma, a leading expert in organic chemistry and nanotechnology.
Research Methods in Biology
The Research Methods in Biology course is designed to provide students with a comprehensive understanding of the principles and practices of scientific research in biology. The course covers topics such as experimental design, data analysis, and scientific writing. Students will also learn about the ethical considerations in scientific research and the importance of reproducibility. The course includes laboratory sessions where students will conduct independent research projects. The course is taught by Dr. Lakshmi Devi, a distinguished expert in molecular biology and biotechnology.
Project-Based Learning Philosophy
The Bachelor of Science program at Kanumarla Rural Development And Educaiton Al Society Prakasam places a strong emphasis on project-based learning as a fundamental component of the educational experience. This approach is designed to foster critical thinking, problem-solving skills, and practical application of theoretical knowledge. The program's project-based learning philosophy is rooted in the belief that students learn best when they are actively engaged in solving real-world problems and conducting meaningful research.
The program incorporates both mini-projects and a final-year thesis/capstone project as essential elements of the curriculum. The mini-projects are designed to be completed during the second and third years of the program, allowing students to apply the concepts learned in their coursework to practical situations. These projects are typically completed in small groups and are supervised by faculty members who provide guidance and mentorship throughout the process.
The final-year thesis/capstone project is a significant undertaking that requires students to conduct original research or develop a comprehensive solution to a complex problem in their field of study. This project is typically completed in the final year of the program and serves as a culmination of the student's academic journey. The project is supervised by a faculty member who serves as the primary mentor, and students are encouraged to collaborate with other faculty members and researchers in their field.
The evaluation criteria for these projects are designed to assess not only the technical quality of the work but also the student's ability to communicate their findings, work collaboratively, and demonstrate critical thinking. The projects are evaluated by a panel of faculty members and external experts, ensuring that the assessment is rigorous and comprehensive.
Students are encouraged to select projects that align with their interests and career aspirations, and they are provided with resources and support to ensure their success. The program offers a range of research opportunities, including summer research programs, internships, and collaborations with industry partners, which provide students with exposure to real-world challenges and professional environments.
The faculty members play a crucial role in the project-based learning process, providing mentorship, guidance, and feedback throughout the project development cycle. They are actively involved in helping students identify research topics, develop research proposals, and navigate the challenges that arise during the project process. The faculty members also provide students with access to cutting-edge research facilities and equipment, ensuring that they have the resources necessary to conduct high-quality research.
The program's project-based learning approach is designed to prepare students for success in their future careers by developing their research skills, critical thinking abilities, and collaborative work ethic. The emphasis on practical application and real-world problem-solving ensures that graduates are well-prepared to contribute to their fields and make meaningful contributions to society.