1.1. Acquire the ability to apply the basic tenets of logic and science to thoughts, actions and interventions.
1.2. Develop the ability to chart out a progressive direction for actions and interventions bylearning to recognize the presence of hegemonic ideology within certain dominant notions.
1.3. Develop self-critical abilities and the ability to view positions, problems and socialissues from plural perspectives.
2.1. Learn to participate in nation building by adhering to the principles of sovereignty of the nation, socialism, secularism, democracy and the values that guide are public.
2.2. Develop and practice gender sensitive attitudes, environmental awareness, empathetic social awareness about various kinds of marginalisation and the ability to understand and resist various kinds of discriminations
2.3. Internalise certain highlights of the nation’s and region’s history. Especially of the freedom movement, the renaissance within native societies and the project of modernisation of the post colonial society.
3.1. Acquire the ability to speak, write, read and listen clearly in person and through electronic media in both English and in one Modern Indian Language
3.2. Learn to articulate, analyse, synthesise, and evaluate ideas and situations in a well informed manner.
3.3. Generate hypotheses and articulate assent or dissent by employing both reason and creative thinking
4.1. Perceive knowledge as an organic, comprehensive, interrelated and integrated faculty of the human mind.
4.2. Understand the issues of environmental contexts and sustainable development as a basic interdisciplinary concern of all disciplines.
4.3. Develop aesthetic, social, humanistic and artistic sensibilities for problem solving and evolving a comprehensive perspective.
After the successful completion of the B.Sc. LIFE SCIENCES (ZOOLOGY) & COMPUTATIONAL BIOLOGY Degree Pragramme, the students shall be able to;
PSO 1: Understand the relevance of Zoological and Microbiological aspects in life sciences and computer science
PSO 2: Understand the scope and applications of computational modelling and predictions in various aspects of life sciences
PSO 3: Understand the relevance of research methods, bioethics in the implementations of the studies related with life sciences and computational biology
PSO 4: Carry out standard laboratory techniques in the field of zoology, microbiology, Computer sciences and study the scope of computational modelling and prediction in various problems in life sciences
CO 1. Understand the basic concepts in Bioinformatics/Computational biology and its applications in various fields.
CO2 Understand biological databases available online and sequence alignment using bioinformatics tools
CO3.Understand algorithms used for the computational calculations CO4. Understand the concepts of genes, genomes and Human Genome Project.
CO1. Understand the importance of bio molecules
CO2: Inspect the genome organization and protein synthesis CO3: Understand the relevance of regulation of gene expression in prokaryotes and eukaryotes CO4: To study various techniques and their scope in molecular biology.
Core Course V 4B05 ZCB BIOMOLECULAR MODELLING AND SIMULATION
CO1: Able to understand various structural organisation and conformations of proteins for biomolecular modelling studies
CO2: Able to understand the scope of computational biology in predicting primary, secondary and tertiary structures of proteins
CO3: Able to apply different force fields for evaluation of protein structures by relevant bioinformatics approaches.
CO4: Able to implement simulation studies for various proteins and analyse their structural aspects for functional studies.
CO5: Able to design and develop models for unknown protein structures using various computational biology tools.
CO1: Apply the concepts of bioinformatic tools and databases for solving various biological problems.
CO2: Apply the concepts of similarity searches and identification of best homologous sequences by various bioinformatics tools .
CO3: Apply the concepts of sequence alignment and analyse the homologous relationship of various molecular sequences.
CO4: Implement the concepts of computational biology and analyse the scope of structural bioinformatics and visualisation of macromolecular structures.
CO1. Understand the function of various systems at cellular and system levels .
CO2. Understand the mechanisms that work to keep the body alive and functioning.
CO3. Apply the knowledge to lead a healthy life
CO1: Understand the major steps in embryological development.
CO2: Understand the intricate mechanisms involved in the development of animals..
CO1: Able to understand the importance cheminformatics in drug discovery process.
CO2: Able to understand the applications of databases and computational biology tools in various exercises in cheminformatics .
CO3: Able to understand Pharmacokinetics and Pharmacodynamics aspects in Computational medicinal chemistry
CO4: Able to implement models for drug likeliness and ADMET predictions for various small molecules.
CO5: Equipped with knowledge of various kinds of small molecules and drugs used in computational medicinal chemistry.
CO1: Understand the concept of molecular modelling in computational drug discovery.
CO2: Understand the conceptof chemo-informatics and computational medicinal chemistry in structure-based drug discovery..
CO3: Apply the theoretical aspects and relevance of computer assisted drug discovery in pharmaceutical industry.
CO4: Inspect the utility of computational virtual screening and molecular docking studies in the success of modern drug discovery approaches..
CO5: Evaluate the scope of molecular dynamic simulation and quantitative structure activity relationship towards molecular modelling and drug discovery pipelines.
CO1. To give training in different experimental procedures and techniques in physiology and developmental biology.
CO2: To give training in different genetic methods and to solve simple problems in genetics.
CO1. Students are able to describe the relation between abiotic and biotic factors.
CO2. Able to describe various biological interactions. .
CO3. Students are able to understand how change in population affect the ecosystem.
CO1: Understand the fundamental concepts of health informatics and its scope and application .
CO2: Implement the modelling framework of health informatics with the aids of computational tools and databases .
CO3: Analyse the scope and applications of computational biology tools and databases in health care information systems
CO4: Understand the fundamental concepts of computational immunology and its utility
CO5: Inspect the applications of computational biology tools and techniques in studying various aspects of immunology.
CO6: Implement the computational biology tools and techniques in epitope mapping and prediction..
CO1. Apply scientific methods in day to day life .
CO2. Able to design a research work on a topic.
CO3. To give a basic understanding in bioethics in research.
Life Science(Zoology) and Computational Biology