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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.
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 Management |
Download |
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 |
Regular MCA SEMESTER IV
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 Models |
Links Related To GTU
| GTU Exam Time Table | Details |
| GTU Result | Details |
| 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.