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JUIT Syllabus PGET Entrance Exam : Jaypee University of Information Technology

Organisation : JUIT Jaypee University of Information Technology
Entrance Exam : Entrance Exam PGET – 2024
Document Type : Syllabus
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JUIT Biotechnology Syllabus For Entrance Exam PGET

General Science (30 Marks) 15 x 2
Probability, Major of central tendency and dispersion: Mean, Median, Mode, standard deviation, standard error of mean, skewness, kurtosis; Testing of hypothesis: Z-statistics, t-statistics, F-statistics, correlation regression, chi-square test

Laws of thermodynamics, Concept of entropy, Applications to compression and expansion processes. Solution thermodynamics – Excess properties of mixtures, Concept of free energy,

Related / Similar Syllabus : SRM SRMJEEE Syllabus Engineering Entrance Examination B.Tech / M.Tech

Concept of pH and buffer, Chemical bonding and hybridization, Atomic and molecular structure, Chemical reaction equilibrium, Chemical reaction mechanism (SN1 and SN2), Chemical kinetics (first & second order)

Computer Science:
Introduction to logic (binary, decimal, hexa decimal number conversions), Flow diagram.

Biological Sciences: 70 marks (35 x 2)
Biochemistry :
Biomolecules and their conformation; Enzyme kinetics; Bioenergetics; Metabolism (Glycolysis, TCA and Oxidative phosphorylation); Membrane transport and pumps; Cell cycle and cell growth control; Cell signaling and signal transduction, Basic immunology, Types of immunity, T-cells and B-cells, Antigen-antibody reaction, Antibody structure, T-cell receptors, Complement system, Autoimmunity, Hyper-sensitivity, Hybridoma technology, Vaccines

Microbiology :
Prokaryotic and eukaryotic cell structure; Microbial nutrition, growth and control; Microbial metabolism (aerobic and anaerobic respiration, photosynthesis); Microbial genetics (plasmids, transformation, transduction, conjugation); Microbial diversity and characteristic features; Viruses, Host-pathogen interactions, role of microbes in industry

Molecular Biology and Genetics :
Cell division, Central dogma of molecular biology, DNA as genetic material, Structure of DNA and RNA, Physical and chemical properties of nucleic acids, DNA super coiling, Basic techniques of molecular Biology, DNA damage and repair, DNA replication, Gene structure in prokaryotes and eukaryotes, DNA transcription and RNA processing, Genetic code and protein synthesis, Gene regulation, Post-translational modifications, Mutations and their role in Evolution, Population genetics, Genetic disorders

Introduction to Bioinformatics :
Biological databases, sequence retrieval and analysis (NCBI & BLAST), Sequence alignment (Pairwise and Multiple sequence alignment), Construction of phylogenetic trees, Gene predictions, RNA and protein structure prediction

Recombinant DNA Technology:
Restriction and modification enzymes; Vectors: plasmid, bacteriophage and other viral vectors, cosmids, Ti plasmid, yeast artificial chromosome; cDNA and genomic DNA library; Gene isolation; Gene cloning; Expression of cloned gene; Transposons and gene targeting; DNA labeling; DNA sequencing; Polymerase chain reactions; DNA fingerprinting; Southern and northern blotting; In-situ hybridization; RAPD; RFLP; Site-directed mutagenesis; Gene transfer technologies; Gene therapy.

Basic techniques in biotechnology :
Principle and application of microscopy; filteration; centrifugation; spectroscopy (UV/Visible, NMR,IR), Electrophoresis; chromatography(TLC,HPLC,GC, ion exchange, affinity, gel filteration); lyophilization.

PGET Computer Science & Engineering Syllabus

Section-I: Mathematical Aspects of Computer Science (15×2=30 Marks)
Combinatorics: Permutations, combinations, counting, summation;

Theory of Probability
: Axiomatic definition of Probability, conditional probability, Baye’s Theorem, random variables, Functions of random variables. Expectation, Probability distributions: Binomial Poisson, Exponential and Normal distribution and their moment generating functions.

Discrete Mathematics
: Sets, relations, functions, lattices, Boolean algebra, induction, recurrence relations. Groups, Subgroups, Homomorphisms, Normal and subnormal subgroups.

Linear Algebra
: Review of matrices, Consistency of system of Linear equations. Vector spaces and subspace, linear independence and dependence of vectors, Basis and dimensions, Rank and nullity of a linear transformation, Eigen values and eigenvectors of a Matrix, diagonalization.

Optimization Techniques
: Linear Programming: Graphical method, Simplex method, Duality Theory and Sensitivity Analysis. Transportation and Assignment Problem: Initial Basic Feasible Solutions of Balanced and Unbalanced Problems, Optimal Solutions. Network Analysis: Shortest Path problem, Minimum Spanning Tree Problem, Maximum Flow Problem, Minimum Cost Flow Problem.

Numerical Techniques
: Number systems, Solution of non-linear equations, solution of system of linear equations, curve fitting, interpolation, numerical differentiation and integration, solutions of IVP.

Section II: Concepts of Computer Science (35×2=70 Marks)
Digital Electronics: Number Representation, binary arithmetic, Logic gates, Combinational circuits, Sequential circuits, memory devices.

Computer Organization
: Machine instructions and addressing modes, ALU and data-paths, hardwired and micro-programmed control pipelining, memory interface, I/O interfaces, serial communication interface, parallel processing, memory management

Structured and object oriented programming concepts (with reference to “C/ C++”):
Program control, functions, recursion, scope, binding, parameter passing, pointers, array handling, structures and unions, file handling, concepts of Object Oriented Programming.

Data Structures
: Notion of abstract data types, stacks, queues, linked lists, trees, heap, graphs, Tree and graph traversals, hashing, sorting, searching.
Theory of Computation: Regular languages and finite automata, context free languages and pushdown automata, Turing machines.
Complier Design: Lexical analysis, parsing, syntax directed translation, runtime environment, code generation, linking.

Operating Systems
: Definition and significance of OS, OS as resource manager, Classical concepts processes, concurrency, synchronization, deadlock, threads and inter-process communication, CPU scheduling, memory management, file systems, I/O systems, protection and security, DOS, UNIX and windows.

Database Management Systems
: Relational model, ER diagram, relational algebra, database design, normalization, SQL, transactions management and concurrency control.

Computer Networks: OSI reference model, sliding window protocols, LAN technologies (Ethernet, Token ring), TCP/UDP, IP, Networking addresses, transmission medias, Networking devices-Hub, switches, gateways and routers.

Software Engineering: Basics of s/w engineering, Software Process models, software project planning and management, software testing and reliability.

Download Syllabus For Entrance Exam PGET

a. Biotechnology –
b. Civil Engineering –
c. Computer Science & Engineering –
d. Electronics & Communication Engineering –

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