M.Sc. in Integrated Biosciences(BSM112 )
Course Outcomes
M.Sc. in Integrated Biosciences(BSM111)
Course Outcomes
B.S. in Biotechnology (BTSEC 363)
Course Outcomes CO1: Demonstrate the ability to navigate and retrieve biological literature and sequence data from databases such as NCBI and other primary data repositories. CO2: Perform sequence similarity searches using BLAST and interpret the output for functional and evolutionary insights. CO3: Carry out multiple sequence alignment using ClustalW and analyze conserved regions across DNA or protein sequences. CO4: Explore and query protein databases such as Swiss-Prot and UniProt to extract functional, structural, and annotation data. CO5: Apply basic statistical tools to analyze biological data, including calculation of mean, median, mode, standard deviation, and coefficient of variance. CO6: Interpret biological datasets using statistical graphs and tests such as frequency distribution, chi-square test, and confidence intervals, including hands-on demonstration using SPSS software.
B.S. in Biotechnology (BTSEC 362)
Course Outcomes CO1: Describe the scope and significance of bioinformatics, including types of biological databases and sequence formats (FASTA, GenBank). CO2: Retrieve and submit DNA, RNA, and protein sequences using online databases and tools; explain applications of genomics, transcriptomics, and proteomics. CO3: Perform pairwise and multiple sequence alignments and construct basic phylogenetic trees using tools like BLAST, CLUSTALW, and MEGA. CO4: Demonstrate understanding of molecular docking and the basic principles of computer aided drug discovery. CO5: Apply statistical methods such as measures of central tendency, dispersion, t-test, chi square, and ANOVA to analyze biological data. CO6: Use SPSS and other software tools (e.g., ExPASy, RasMol) for biological data analysis and visualization.
B.S. in Biotechnology (BTSEC 361)
Course Outcomes CO1 Describe the historical development, basic concepts, and economic aspects of industrial fermentation. CO2 Explain the methods used for isolation, screening, and genetic improvement of industrial microorganisms CO3 Formulate fermentation media using appropriate raw materials, and optimize media composition. CO4 Understand the design, functions, and aseptic operations of different fermenters. CO5 Compare batch and continuous fermentation processes along with sterilization techniques. CO6 Explain various downstream processing steps including cell separation, cell disruption, and product recovery methods.
B.S. in Biotechnology (BTSEC 356)
Course Outcomes CO1: Understand the principles and types of PCR and their applications in molecular biology. CO2: Describe the methodology CO3: Explain the CO4: Evaluate the advantages, limitations, CO5: Apply the knowledge of molecular markers in biotechnology research and diagnostics.
B.S. in Biotechnology (BTM 353)
Course Outcomes CO1 – Demonstrate bacterial conjugation and study gene transfer mechanisms in E. coli. CO2 – Perform and understand plasmid isolation and GFP-based gene expression. CO3 – Generate and isolate bacterial mutants through physical and chemical mutagenesis. CO4 – Apply techniques like gradient plates and replica plating to study antibiotic resistance. CO5 – Isolate and characterize enzyme-producing microbes using screening and assay techniques. CO6 – Identify and characterize petite mutants in yeast to study mitochondrial genetics.
B.S. in Biotechnology (BTM 352)
Course Outcomes CO1: Understand the basic concepts of enzymes, enzyme classification, and nomenclature. CO2: Explain enzyme kinetics, mechanisms of enzyme action, and enzyme inhibition. CO3: Gain knowledge about enzyme regulation, allosteric enzymes, and coenzymes. CO4: Outline principles of enzyme purification, characterization, and industrial applications.
B.S. in Biotechnology (BTM 351)
Course Outcomes CO1: Explain the fundamental processes of gene expression and the regulatory mechanisms in prokaryotic and eukaryotic systems. CO2: Analyze epigenetic and post-transcriptional mechanisms involved in gene regulation, including methylation, histone modifications, and RNA interference pathways. CO3: Describe and compare natural and artificial gene transfer methods, including physical, chemical, and biological approaches, and their application in different organisms. CO4: Differentiate between types of mutations and mutagens, and evaluate various mutagenesis techniques, including site-directed and random mutagenesis, along with DNA repair mechanisms. CO5: Demonstrate knowledge of vector systems such as plasmids, phages, cosmids, BACs, and YACs, and apply basic genetic engineering tools like restriction enzymes, ligases, and cloning strategies. CO6: Construct recombinant DNA molecules using molecular cloning tools and techniques, and interpret screening and selection strategies in genetic engineering experiments.
B.S. in Data Science & Analytics (DSE364)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall fundamental concepts, linguistics basics, and NLP pipeline components. CO2 UNDERSTANDING Explain text preprocessing, feature extraction, and statistical & deep learning models for NLP. CO3 APPLYING Implement NLP tasks such as tokenization, POS tagging, sentiment analysis, and text classification. CO4 ANALYSING Compare traditional machine learning and deep learning approaches for NLP applications. CO5 EVALUATING Evaluate NLP models using precision, recall, F1-score, BLEU, and perplexity metrics. CO6 CREATING Design and develop end-to-end NLP solutions for real-world applications such as chatbots, translation, and information retrieval.
