Changes in GTU Syllabus of Bachelor of Engineering & Bachelor of Pharmacy Courses!! Download 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 Latest update of Gujarat Technological University Syllabus/ GTU 2019 Syllabus from this page.
|Equivalency for Bachelor of Engineering & Bachelor of Pharmacy students|
Bachelor of Engineering
Gujarat Technological University has implemented new syllabus for the students of Degree Engineering from the academic year 2018-19. Those students who have studied Semester I and II in old syllabus (Effective from Academic Year 2013-14) and now become regular in Semester III have to study as per new syllabus (Effective from Academic Year 2018-19)from semester 3 onwards.
Bachelor of Pharmacy
Gujarat Technological University has implemented new syllabus for the students of Degree Pharmacy from the academic year 2017-18. Those students who have studied Semester I to IV in old syllabus and now become regular in Semester V have to study as per old syllabus only.
Similarly for the students who studied I to V in old, I to VI in old and I to VII in old syllabus and become regular in Semester VI, VII and VIII respectively have to study as per old syllabus only.
Gujarat Technological University Syllabus 2019
- 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 2019
Latest GTU BE Syllabus 2019
|Basic Electronics||Download Here|
|Basic Mechanical Engineering||Download Here|
|Chemistry (Modified on 1st July 2018)||Download Here|
|Engineering Graphics & Design||Download Here|
|English B.E. 1st Year||Download Here|
|Environmental Science 1st Year||Download Here|
|Mathematics BE 1st Year Sem 1||Download Here|
|Mathematics BE 1st Year Sem 2||Download Here|
|PHYSICS B.E. 1st YEAR||Download Here|
|PHYSICS Group 2||Download Here|
|Programming for Problem Solving||Download Here|
|Workshop/ Manufacturing Practices||Download Here|
|Basic Civil Engineering||Download Here|
|Basic Electrical Engineering||Download Here|
GTU Syllabus Download PDF Links
|Degree Engineering||Hit Here|
|Diploma Engineering||Hit Here|
|Master of Engineering||Hit Here|
|MAM/Integrated MBA||Hit Here|
|Master in Philosophy in Business|
Gujarat Technological University Syllabus – Subject Wise
GTU MBA Syllabus
|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)|
|4529203||Marketing Management (MM)|
|4529204||Human Resource Management (HRM)|
|4529205||Production & Operations Management (POM)|
|4529206||Research Methodology (RM)|
GTU MCA Syllabus
|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 M.E Syllabus
|M.E Semester 2 Syllabus||Hit Here|
|M.E Semester 3 Syllabus||Hit Here|
|M.E Semester 4 Syllabus||Hit Here|
GTU Diploma Syllabus
|Detail syllabus for Diploma First Semester||Hit Here|
|Detail syllabus for Diploma Second Semester||Hit Here|
|Detail syllabus for Diploma Third Semester||Hit Here|
|Detail Syllabus for Diploma Fourth Semester||Hit Here|
|Detail Syllabus for Diploma V Semester||Hit Here|
Regular MCA SEMESTER IV
Subject Code: 4649301
Computer Networking (CN)
|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.
|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.
|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 noisy channel.
Sliding Window protocols, Example data link protocols.
|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.
|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.
|Transport Layer: Transport Services, Elements of Transport protocols, Connection establishment, connection release, Error control, flow control, congestion control,|
UDP and TCP protocols.
|Application Layer: Domain name system, Electronic Mail; the World Wide Web,HTTP|
Subject Code: 4649302
Statistical Methods (SM)
|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||Check Here|
|GTU Result||Check Here|
|GTU Recruitment||Check Here|
|GTU Question Papers||Check Here|
Procedure to Download GTU Syllabus 2019
- 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.
Get Here – GTU Official Website
Gujarat Technological University
Gujarat Technological University is well recognized by the name as GTU and it was came into existence in2007 on 16th of May. In Gujarat state it is known as one of leading and developing university which offers various under graduate, 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 Out: List of Universities in Gujarat
Check Here – GTU Semester Syllabus
The main aim of this university is to expand the knowledge of students and to brush up the 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, post graduate degree exam 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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