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GTU Syllabus 2023 Latest (1st, 2nd, 3rd, 4th Sem) BE/MBA/Engg PDF-Update

GTU Syllabus 2023

Changes in GTU Syllabus of Bachelor of Engineering & Bachelor of Pharmacy Courses!! Download the Updated GTU Exam Syllabus PDF for BE/ MBA/ Diploma/ Engg 1st, 2nd, 3rd, 4th Sem Examination from here. You may also check the complete details regarding the Latest update of the Gujarat Technological University Syllabus/ GTU 2023 Syllabus from this page.


GTU Syllabus 2023
GTU Syllabus 2023

Gujarat Technological University Syllabus 2023

  • Name of the University: Gujarat Technological University
  • Courses: MBA/ MCA/ Diploma/ Engg and other Programmes
  • Category: University Syllabus
  • Official Portal: www.gtu.ac.in

GTU Syllabus 2023

Latest GTU BE Syllabus 2023

Basic Electronics Download
Basic Mechanical Engineering Download
Chemistry (Modified on 1st July 2018) Download
Engineering Graphics & Design Download
English B.E. 1st Year Download
Environmental Science 1st Year Download
Mathematics BE 1st Year Sem 1 Download
Mathematics BE 1st Year Sem 2 Download
PHYSICS B.E. 1st YEAR Download
PHYSICS Group 2 Download
Programming for Problem Solving Download
Workshop/ Manufacturing Practices Download
Basic Civil Engineering Download
Basic Electrical Engineering Download

GTU Syllabus Download PDF Links

CPD Download
Degree Engineering Download
Pharmacy Download
Diploma Engineering Download
Master of Engineering Download
MBA Download
MCA Download
PDDC Download
PH.D Download
MAM/Integrated MBA Download
MTM Download
MPM Download
Master in Philosophy in Business

Gujarat Technological University Syllabus – Subject Wise

GTU Syllabus MBA

Sem/Year : 1
4519201 Management Accounting (MA)
4519202 Economics for Manager (EFM)
4519203 Managerial Communication (MC)
4519204 Organizational Behaviour (OB)
4519205 Business Ethics & Corporate Governance (BE & CG)
4519206 Management Information Systems (MIS)
4519207 Business Statistics (BS)
Sem/Year : 2
4529201 Business Analytics (BA)
4529202 Corporate Finance(CF)
4529203 Marketing Management (MM)
4529204 Human Resource Management (HRM)
4529205 Production & Operations Management (POM)
4529206 Research Methodology (RM)
4529207 Entrepreneurship

GTU Syllabus MCA

Sem/Year : 4
4649301 Computer Networking (CN)
4649302 Statistical Methods (SM)
4649303 Mobile Computing (MC)
4649304 Software Project -2 (Data Science)
4649305 Java Web Technology (JWT)_Elective-1
4649306 Big Data Tools (BDT)_Elective-1
4649307 Data Mining and Data Visualization (DMDV)_Elective-1
4649308 Software Quality Assurance (SQA)_Elective-1
4649309 Cyber Security & Forensic (CSF)_Elective-1

GTU Syllabus M.E

M.E Semester 2 Syllabus Download
M.E Semester 3 Syllabus Download
M.E Semester 4 Syllabus Download

GTU Syllabus Diploma

Detail syllabus for Diploma First Semester Download
Detail syllabus for Diploma Second Semester Download
Detail syllabus for Diploma Third Semester Download
Detail Syllabus for Diploma Fourth Semester Download
Detail Syllabus for Diploma V Semester Download


Subject Code: 4649301

Computer Networking (CN)

Unit I
Introduction: Personal Area Network, Local Area Networks, Metropolitan
Area Networks, Wide Area Networks, Internet works, Network software,
protocol hierarchies, Design issues for the layers, connection oriented vs.
Connection less service, service primitives, relationship of services in protocols,
Reference Models, Open System Interconnection (OSI), TCP/IP Reference models, Example Networks: ARPANET, NSFNET, Architecture of Internet.
Unit II
Physical Layer: Guided Transmission Media, Magnetic Media, Twisted Pairs,
Coaxial Cable, Power Lines, Fiber Optics, Wireless Transmission, Electromagnetic
Spectrum, Radio Transmission, Microwave Transmission, Infrared Transmission,
Light Transmission, Digital Modulation and Multiplexing, Public Switched Telephone Networks.
Unit III
Data Link Layer: Design issues, Error detection and correction. Elementary
data link protocols: Utopian simplex protocol, A simplex stop and wait protocol
for an error-free channel, A simplex stop and wait protocol for the noisy channels.
Sliding Window protocols, for Example, data link protocols.
Unit IV
Medium Access Control Sublayer: The channel allocation problem, Multiple
access protocols: ALOHA, Carrier senses multiple access protocols, collision-free
protocols. Wireless LANs, IEEE 802.11 Architecture and Protocol Stack, Physical
layer, sublayer, Frame Structure, Services, Data link layer switching.
Unit V
Network Layer: Design issues, Routing algorithms: Optimality principle, shortest
path routing, Flooding, distance vector routing, Link State routing, Congestion
Control Algorithms, The Network layer in the Internet.
Unit VI
Transport Layer: Transport Services, Elements of Transport protocols, Connection establishment, connection release, Error control, flow control, congestion control,
UDP and TCP protocols.
Unit VII
Application Layer: Domain name system, Electronic Mail; the World Wide Web, HTTP

Subject Code: 4649302

Statistical Methods (SM)

Unit I
Introduction to Statistics and Descriptive Statistics Introduction, Broad areas (classification) of Statistics;
Describing Data Visually: Frequency Distributions and Histograms; Pie Charts;
Bar Charts: Pareto Chart, Scatter Plots (Degree of Association); Line Charts
Descriptive Statistics: Central Tendency; Mean and its Characteristics, Median and its Characteristics, Quartiles and Percentiles, Mode;
Dispersion: Range, Mean Absolute Deviation, Interquartile Range (IQR); Variance, Standard Deviation and its Characteristics, Coefficient of Variation;
Standardized Data: Chebyshev’s Theorem, Outliers;
Box Plots: Fences and Unusual Data Values
Grouped Data: Nature, Mean and Standard Deviation, Accuracy Issues
Skewness: Coefficient of Skewness;
Kurtosis: Leptokurtic, Platykurtic, Mesokurtic;
Measures of Association: Covariance, Correlation, Coefficient of Correlation;
Correlation and Causation
Unit II: Probability and Probability Distributions
Introduction: Common Framework: Experiment, Event, Elementary Events,
Sample Space; Definition of Probability; Marginal Probability;
Probability of Union of Events (Addition Laws), Probability Matrix; Probability of
Complement of a Union; Probability of Joint Events (General Laws of Multiplication); Conditional Probability; Mutually Exclusive Events, Independent Events; Revision of Probabilities: Bayes’ Rule
Discrete Probability Distributions: Introduction, Binomial Distribution, Poisson Distribution, Applications; Overview of other Discrete Probability Distributions
Continuous Probability Distributions: Introduction, Normal Distribution,
Exponential Distribution, Applications; Overview of other Continuous Probability Distributions
Unit III: Sampling, Sampling Distributions and Estimation
Types of Sampling: Random, Nonrandom; Sampling Distribution of x-bar;
Central Limit Theorem; z Formula for Sample Mean; Standard Error of Mean;
Sampling from a Finite Population; Sampling Distribution of a Proportion,
Standard Error of Proportion
Estimation for Single Population: Estimating the Population Mean using z
Statistic (σ Known); Estimating the Population Mean using the z Statistic when
the Sample Size is Small; Estimating the Population Mean using t Statistic
(σ Unknown); Estimating the Population Proportion; Estimating the Population
Variance; Estimating Sample Size
Unit IV: One Sample Hypothesis Tests
Introduction; Null Hypothesis, Alternate Hypothesis; Type I & Type II Errors,Testing Hypotheses about a Population Mean using z Statistic ( σ Known);
Using Critical Value Method to test Hypotheses, Examples; Population Mean
Testing Hypotheses about a Population Mean using t Statistic ( σ Unknown);
Testing Hypotheses about a Proportion; Testing Hypotheses about a Variance
Overview: Statistical Inferences about Two Populations; Analysis of Variance
Unit V: Regression
Introduction, Simple Regression Analysis, Least Square Analysis to Determine
the Equation of Regression Line; Residual Analysis, Using Residual to Test the
Assumptions of the Regression Model; Standard
Error of the Estimate; Coefficient of Determination; Hypothesis Testing for the
Slope of the Regression Model; Testing the Overall Model; Using Regression to
Develop a Forecasting Trend Line
Overview: Multiple Regression Model; Mathematical Transformation of Nonlinear

Links Related To GTU

GTU Exam Time Table Details
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GTU Question Papers Details

Procedure to Download GTU Syllabus 2023

  • The very first includes, logging in to the official website of the University which is www.gtu.ac.in
  • Now you have to hit on “Syllabus” tab, present in the “Academic” section on the menu bar of the home page.
  • Look for suitable GTU Syllabus Link from the web page.
  • Hit on suitable link to obtain GTU Degree Syllabus.
  • Go through GTU UG Syllabus/ GTU PG Syllabus carefully.
  • Download Gujarat Technological University Syllabus and take the print out of it for your convenience.

Press Here: GTU Syllabus Official Link

Get Here – GTU Official Website

Gujarat Technological University

Gujarat Technological University is well recognized by the name as GTU and it came into existence in 2007 on the 16th of May. In Gujarat state, it is known as one of the leading and developing universities which offers various undergraduate, Post Graduate and diploma courses.

It is a statewide college affiliating many management, engineering, pharmacy institutions and varsities throughout the western Indian Districts of Gujarat. It provides admission on the basis of marks obtained in the previous qualifications. It conducts various courses exam every year through semester system.

Check Here – GTU Semester Syllabus

GTU Syllabus 2023: The main aim of this university is to expand the knowledge of students and to brush up their skills in Gujarat state. Candidates who are preparing for the Gujarat Technological University UG/PG exam must go through the new GTU Syllabus.

Gujarat Technological University conducts various graduate, and post-graduate degree exams to check the ability of the aspirants and promote them to the next higher level. For all the latest updates, keep visiting our web portal.

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