MATH – 113 APPLIED MATHEMATICS – I

MATH – 113            APPLIED MATHEMATICS – I


        COURSE CONTENTS:

1.            QUADRATIC EQUATIONS
1.1-         STANDARD FORM.
1.2-         SOLUTION.
1.3-         NATURE OF ROOTS.
1.4-         SUM AND PRODUCT OF ROOTS.
1.5-         FORMATION.

2.              ARTHMETIC PROGRESSION AND SERIES
2.1-         SEQUENCE.
2.2-         SERIES.
2.3-         NTH TERM.
2.4-         SUM OF THE FIRST N TERM.
2.5-         MEANS.

3.              GEOMETRIC PROGRESSION AND SERIES
3.1-         NTH TERM.
3.2-         SUM OF THE FIRST N TERM.
3.3-         MEANS.
3.4-         INFINITE GEOMETRIC PROGRESSION.

4.              BINOMIAL THEOREM
4.1-         FACTORIALS.
4.2-         BINOMIAL EXPRESSION.
4.3-         BINOMIAL CO-EFFICIENT.
4.4-         THE GENERAL TERM.
4.5-         THE BINOMIAL SERIES.

5.              PARTIAL FRACTIONS
5.1-         INTRODUCTION.
5.2-         LINEAR DISTINCT FACTORS CASE I.
5.3-         LINEAR REPEATED FACTORS  CASE II.
5.4-         QUADRATIC DISTINCT FACTORS CASE  III.
5.5-         QUADRATIC REPEATED FACTORS CASE  IV.

6.              FUNDAMENTALS OF TRIGONOMETRY
6.1-         ANGLES AND QUADRANTS.
6.2-         MEASUREMENTS OF ANGLES.
6.3-         RELATION BETWEEN SEXAGESIMAL AND CIRCULAR SYSTEM.
6.4-         RELATION BETWEEN LENGTH OF A CIRCULAR ARC AND THE RADIAN MEASURE OF ITS CENTRAL ANGLE.

7.              TRIGONOMATRIC FUNCTIONS AND RATIOS
7.1-         TRIGONOMATRIC FUNCTIONS OF ANY ANGLE.
7.2-         SIGNS OF TRIGONOMATRIC FUNCTIONS.
7.3-         TRIGONOMATRIC RATIOS OF PARTICULAR ANGLES.
7.4-         FUNDAMENTAL IDENTITIES.

8.              GENERAL IDENTITIES
8.1-         THE FUNDAMENTAL LAW.
8.2-         DEDUCTIONS.
8.3-         SUM AND DIFFERENCE FORMULAE.
8.4-         DOUBLE ANFLE IDENTITIES.
8.5-         HALF ANGLE IDENTITIES.
8.6-         CONVERSION OF SUM OR DIFFERENCE TO PRODUCTS.

9.              SOLUTION OF TRIANGLES
9.1-         THE LAW OF SINES.
9.2-         THE LAW OF COSINES.
9.3-         MEASUREMENT OF HIGHTS AND DISTANCES.

10.           MENSURATION OF SOLDS
10.1-      REVIEW OF REGULAR PLANE FIGURES AND SIMPSON’S RULE.
10.2-      PRISMS.
10.3-      CYLINDERS.
10.4-      PYRAMIDS.
10.5-      CONES.
10.6-      FRUSTA.
10.7-      SPHERES.

11.           VECTORS
11.1-      SCALARS AND VECTORS.
11.2-      ADDITION AND SUBTRACTION.
11.3-      THE UNIT VECTORS I, J, K.
11.4-      DIRECTION COSINES.
11.5-      SCALAR OR DOT PRODUCT.
11.6-      DEDUCTIONS.
11.7-      DOT PRODUCT IN TERMS OF ORTHOGONAL COMPONENTS.
11.8-      VECTOR OR CROSS PRODUCT.
11.9-      ANALYTIC EXPRESSION FOR   Ax B.

12.           MATRICES AND DETERMINANTS
12.1-      DEFINITION OF MATRIX.
12.2-      ROWS AND COLUMNS.
12.3-      ORDER OF A MATRIX.
12.4-      ALGEBRA OF MATRICES.
12.5-      DETERMINANTS.
12.6-      PROPERTIES OF DETERMINANTS.
12.7-      SOLUTION OF LINEAR EQUATIONS.





BOOKS


1-        TECHNICAL MATHEMATICS VOL. I,      GHULAM YASIN MIHAS.
2-        POLYTECHNIC MATHEMATICS SERIES VOL. I AND II.     PROF.  RIAZ ALI KHAN.
3-       A TEXT BOOK OF ALGEBRA AND TRIGONOMATRY,     PROF.  SANA ULLAH         BHATTI.
_________________________________________________________________________

COMP – 124 LINEAR CIRCUITS AND BASIC ELECTRONICS

COMP – 124 LINEAR CIRCUITS AND BASIC ELECTRONICS


     
       COURSE CONTENTS:

1.                             BASIC  PRICIPLE OF ELECTRICITY
1.1.             ELECTRON THEORY.
1.2.             STRUCTURE OF ATOM AND ENERGY BANDS.
1.3.             ELECTRICAL QUANTITIES.
1.4.             POTENTIAL, CURRENT AND RESISTANCE.
1.5.             UNITS OF POTENTIAL, CURRENT AND RESISTANCE.
1.6.             CONVECTIONAL AND ELECTRON CURRENT.

2.                             DC  FUNDAMENTALS
2.1.             OHM’S LAW.
2.2.             PROBLEMS OF OHM’S LAW.
2.3.             LAWS OF RESISTANCE.
2.4.             SPECIFIC RESISTANCE, CONDUCTANCE  AND CONDUCTIVITY.
2.5.             CO-EFFICIENT OF RESISTANCE.
2.6.             RESISTANCE IN SERIES, PARALLEL AND SERIES – PARALLEL.
2.7.             COMBINATION OF RESISTANCE AND CELLS.
2.8.             ELECTRICAL POWER AND ENERGY.
2.9.             KIRCHHOFF’S LAWS.
2.10.          CALCULATION USING KVL AND KCL.
2.11.          RESISTORS: CONSTRUCTION AND TYPES.
2.12.          APPLICATION OF RESISTORS.
2.13.          RESISTORS, COLOUR CODING.
2.14.          RESISTORS, POWER RATING AND TROUBLE SHOOTING.
2.15.          BATTERIES.
2.16.           TYPES OF DC SOURCES.
2.17.          LEAD ACID BATTERIES.
2.18.          SOLAR CELL.
2.19.          INTERNAL RESISTANCE.
2.20.          APPLICATION OF CELL.

3.                             ELECTROMAGNETISM
3.1.             ELECTROMEGNETISM.
3.2.             B-H CURVE AND MAGNETIC HYSTERESIS.
3.3.             ELECTROMAGNETIC INDUCTION.
3.4.             MAGNETIC FIELD.
3.5.             FORCE BETWEEN TWO MAGNETIC FIELDS AND MOTOR ACTION.
3.6.             FARADAY’S LAW OF ELECTROMAGNETIC INDUCTION.
3.7.             LENZ’S LAW.

4.                             ELECTROSTATICS
4.1.             LAWS OF ELECTROSTATICS.
4.2.             ELECTROSTATIC FIELD.
4.3.             PROPERTIES OF ELECTRIC FIELD.
4.4.             DIELECTRIC, DIELECTRIC STRENGTH AND PERMITIVITY.
4.5.             CAPACITANCE AND CAPACITORS.
4.6.             TYPES AND USES OF CAPACITORS.
4.7.             EQUIVALENT CAPACITANCE OF CAPACITOR COMPINATION.
4.8.             ENERGY STORED IN CAPACITORS.
4.9.             COLOUR CODE, TOLERANCE AND RATING OF CAPACITORS.

5.                             AC  FUNDAMENTALS.
5.1.             SINUSODAL WAVEFORM.
5.2.             AC SINUSOIDAL WAVEFORM CHARACTERISTICS.
5.3.             FUNDAMENTAL FREQUENCY AND HARMONICS.
5.4.             PHASOR QUANTITIES.
5.5.             PHASE DIFFERENCE AND POWER FACTOR.
5.6.             SELF INDUCTANCE AND BACK EMF.
5.7.             INDUCTIVE REACTANCE.
5.8.             PHASOR DIAGRAM FOR PURE INDUCTOR.
5.9.             R-L SERIES CIRCUIT.
5.10.          PHASOR DIAGRAM AND POWER DIAGRAM FOR AN R-L SERIES CIRCUIT.
5.11.          TIME CONSTANT.
5.12.          IMPEDANCE.
5.13.          R-L PARALLEL CIRCUIT.
5.14.          QUALITY FACTORS OF INDUCTORS.
5.15.          SKIN EFFECT, AF AND RF CHOKES.
5.16.          PHASOR DIAGRAM FOR PURE CAPACITOR.
5.17.          CAPACITIVE REACTANCE.
5.18.          R-C SERIES CIRCUIT.
5.19.          TIME CONSTANT OF R-C CIRCUITS.
5.20.          IMEDANCE.
5.21.          R-C PARALLEL CIRCUIT.
5.22.          RLC SERIES CIRCUIT.

6.                             TRANSFORMER
6.1.             PRINCIPLE OF TRANSFORMER.
6.2.             CONSTRUCTION, TYPES AND CORE MATERIALS OF TRANSFORMER.
6.3.             APPLICATION OF TRANSFORMERS IN ELECTRONICS.
6.4.             AUTO-TRANSFORMERS.
6.5.             POLY-PHASE TRANSFORMERS.
6.6.             PHASE AND LINE VOLTAGE.
6.7.             TRANSFORMER LOSSES.
6.8.             CORE LOSSES AND HYSTERESIS LOSSES.

7.                             NETWORK THEOREMS
7.1.             SUPERPOSITION THEOREM.
7.2.             THEVENIN’S THEOREM.
7.3.             NORTON’S THEOREM.
7.4.             STAR DELTA TRANSFORMATION.



8.                             RESONANCE
8.1.             RESONANCE AND RESONANT CIRCUIT.
8.2.             RELATION BETWEEN F, L AND C AT RESONANCE.
8.3.             SERIES RESONANT CIRCUIT AND ITS IMPEDANCE.
8.4.             CURRENT, VOLTAGE AND IMPEDANCE CHARACTERISTIC OF SERIES RESONANT CIRCUIT.
8.5.             PARALLEL RESONANT CIRCUIT AND ITS IMPEDANCE.
8.6.             IMPEDANCE, CURRENT AND VOLTAGE CHARACTERISTICS OF PARALLEL RESONANT CIRCUIT.
8.7.             SERIES AND PARALLEL RESONANCE CURVE COMPARISM AND BANDWIDTH.
8.8.             Q OF CIRCUIT AND EFFECT OF Q.
8.9.             SLOPE OF RESONANCE CURVE AND SELECTIVITY RELATION.
8.10.          EFFECT OF THE LC. RATIO OF SELECTIVITY.
8.11.          USE OF RESONANCE.

9.                             SEMICONDUCTORS
9.1.             SEMICONDUCTOR THEORY.
9.2.             DOPING, DOPING LEVEL AND METHODS.
9.3.             PN JUNCTION DIODE, DEPLETION REGION AND JUNCTION POTENTIAL.
9.4.             DIODE AS RECTIFIER.
9.5.             TRANSISTOR  PNP AND NPN.
9.6.             TRANSISTOR AS AMPLIFIER.
9.7.             TRANSISTOR AS SWITCH.
9.8.             INTEGRATED CIRCUITS TYPES:  ANALOG AND DIGITAL.

BOOKS


1.           BASIC ELECTRONICS,                 7ED, BERNARD GROB.
2.           ELECTRICAL TECHNOLOGY,    B.L.THERAJA.
3.           ESSENTIALS OF RADIO,              SLURZBERG.
4.           APPLIED ELECTRICITY AND ELECTRONICS FOR TECHNICIANS,           R.B. FABER.
___________________________________________________________________________________

DAE CIT

1st Year CIT

Linear Circuit & Basic Electronics

Mathematics

Physics

Introduction to Computer Programming

Computer Application Software

Occupational Health & Safety Environment

General Engineering

2nd Year CIT

Analogue Electronics
Business Communication
Data Communication & Networking
Digital Electronics
Mathematics 
Microprocessor and Architecture 
Object Oriented Programming with vb and java
3rd Year CIT

Management 
Networking and Administration 
Operating System 
PC System and Peripheral Repair
PC System Architecture
Project
Technical Report Writing
Web Page Development and E-Commerce

basic computer p1

  • Computer Fundamentals
  • Computer – Home
  • Computer – Overview
  • Computer – Applications
  • Computer – Generations
  • Computer – Types
  • Computer – Components
  • Computer – CPU
  • Computer – Input Devices
  • Computer – Output Devices
  • Computer – Memory
  • Computer – RAM
  • Computer – Read Only Memory
  • Computer – Motherboard
  • Computer – Memory Units
  • Computer – Ports
  • Computer – Hardware
  • Computer – Software
  • Computer – Number System
  • Computer – Number Conversion
  • Computer – Data and Information
  • Computer – Networking
  • Computer – Operating System
  • Computer – Internet and Intranet
  • Computer – How to Buy?
  • Computer – Available Courses
  • Computer Useful Resources
  • Computer – Quick Guide
  • Computer – Useful Resources
  • Computer – Discussion

Computer Science topic

1109: Fundamental Programming Concepts
1110: Introduction to Computing Using Python
1112: Introduction to Computing Using MATLAB
1115: Introduction to Computational Science and Engineering Using Matlab Graphical User Interfaces
1130: Transition to Object-Oriented Programming
1132: Short Course in MATLAB
1133: Short Course in Python
1300: Introductory Design and Programming for the Web
1305: Computation and Culture in a Digital Age
1380: Data Science for All
1610: Computing in the Arts
1620: Visual Imaging in the Electronic Age
1710: Introduction to Cognitive Science
1810: Topics in the Analysis and Transmission of Knowledge and Information
1998: Freshmen and Nontechnical Team Projects
2024: C++ Programming
2043: UNIX Tools and Scripting
2049: Intermediate iPhone Development
2110: Object-Oriented Programming and Data Structures
2111: Programming Practicum
2112: Object-Oriented Design and Data Structures 
2300: Intermediate Design and Programming for the Web
2770: Excursions in Computational Sustainability
2800: Discrete Structures
2802: Discrete Structures – Honors
2850: Networks
3110: Data Structures and Functional Programming
3152: Introduction to Computer Game Architecture
3220: Computational Mathematics for Computer Science
3300: Data-Driven Web Applications
3410: Computer System Organization and Programming
3420: Embedded Systems
3758: Autonomous Mobile Robots
4090: Teaching Experience in Computer Science
4110: Programming Languages and Logics
4120: Introduction to Compilers
4121: Practicum in Compilers
4152: Advanced Topics in Computer Game Architecture
4154: Analytics-driven Game Design
4160: Formal Verification
4210: Numerical Analysis and Differential Equation
4220: Numerical Analysis: Linear and Nonlinear Problems
4300: Language and Information
4320: Introduction to Database Systems
4321: Practicum in Database Systems
4410: Operating Systems
4411: Practicum in Operating Systems
4420: Computer Architecture
4450: Introduction to Computer Networks
4620: Introduction to Computer Graphics
4621: Computer Graphics Practicum
4654: Virtual Reality Design
4670: Introduction to Computer Vision
4700: Foundations of Artificial Intelligence
4701: Practicum in Artificial Intelligence
4732: Social and Ethical Issues in AI
4740: Natural Language Processing
4744: Computational Linguistics

  • )

4750: Foundations of Robotics
4752: Robotic Manipulation
4754: Human Robot Interaction – Research and Design
4758: Robot Learning
4775: Computational Genetics and Genomics
4780: Machine Learning for Intelligent Systems
4786: Machine Learning for Data Science
4787: Principles of Large-Scale Machine Learning Systems
4810: Introduction to Theory of Computing
4812: Quantum Information Processing
4814: Introduction to Computational Complexity
4820: Introduction to Analysis of Algorithms
4830: Introduction to Cryptography
4850: Mathematical Foundations for the Information Age
4852: Networks II: Market Design
4860: Applied Logic
4997: Practical Training in Computer Science
4998: Team Projects
4999: Independent Reading and Research
5094: Introduction to Blockchains, Cryptocurrencies, and Smart Contracts
5110: Programming Languages and Logics
5112: Algorithms and Data Structures for Applications
5114: Network Programming Languages
5120: Introduction to Compilers
5121: Practicum in Compilers
5150: Software Engineering
5152: Open-Source Software Engineering
5199: Competition Programming and Problem Solving
5220: Applications of Parallel Computers
5223: Numerical Analysis: Linear and Nonlinear Problems
5300: The Architecture of Large – Scale Information Systems
5304: Data Science in the Wild
5306: Crowdsourcing and Human Computation
5320: Introduction to Database Systems
5321: Practicum in Database Systems
5412: Cloud Computing
5413: High Performance Systems and Networking
5414: Distributed Computing Principles
5420: Advanced Computer Architecture
5424: Developing and Designing Interactive Devices
5430: System Security
5431: Practicum in System Security
5433: Blockchains, Cryptocurrencies, and Smart Contracts
5434: Defending Computer Networks
5435: Security and Privacy Concepts in the Wild
5436: Privacy in the Digital Age
5437: Principals and Practice of Cryptocurrencies
5439: Practicum in Computer Security
5450: Networked and Distributed Systems
5555: Health Tech, Data, and Systems
5620: Introduction to Computer Graphics
5621: Computer Graphics Practicum
5625: Interactive Computer Graphics
5643: Physically Based Animation for Computer Graphics
5650: Virtual and Augmented Reality
5660: Signal Processing
5670: Introduction to Computer Vision
5682: HCI and Design
5724: Evolutionary Computation
5726: Learning and Decision Making
5727: Optimization Methods
5740: Natural Language Processing
5750: Foundations of Robotics
5752: Robotic Manipulation
5780: Machine Learning for Intelligent Systems
5785: Applied Machine Learning
5786: Machine Learning for Data Science
5830: Cryptography
5831: Security Protocols and Privacy
5846: Decision Theory I
5854: Networks and Markets
5860: Introduction to Formal Methods
5998: Master of Engineering Internship
5999: Master of Engineering Project
6110: Advanced Programming Languages
6113: Language-Based Security
6114: Network Programming Languages
6115: Certified Software Systems
6117: Category Theory for Computer Scientists
6120: Compiler Design for High-Performance Architectures
6180: Introduction to Constructive Type Theory
6210: Matrix Computations
6220: Data-Sparse Matrix Computations
6241: Numerical Methods for Data Science
6320: Advanced Database Systems
6360: Educational Technology
6410: Advanced Systems
6411: Systems Principles
6431: Security and Privacy Technologies
6432: Distributed Consensus and Blockchains
6450: Advanced Computer Networking
6452: Datacenter Networks and Services
6453: Big Data Systems: Trends and Challenges
6465: Emerging Cloud Technologies and Systems Challenges
6466: Cryptocurrencies and Smart Contracts
6630: Realistic Image Synthesis
6644: Recognizing and Modeling the World
6650: Computational Motion
6670: Computer Vision
6700: Advanced Artificial Intelligence
6740: Advanced Language Technologies
6741: Structured Prediction for Natural Language Processing
6742: Natural Language Processing and Social Interaction
6751: Introduction to Robotic Mobile Manipulation
6756: Advanced Topics in Robot Learning: 3D Perception
6758: Robot Learning
6764: Reasoning about Knowledge
6766: Reasoning about Uncertainty
6772: Bayesian Machine Learning
6780: Advanced Machine Learning
6783: Machine Learning Theory
6784: Advanced Topics in Machine Learning
6787: Advanced Machine Learning Systems
6788: Advanced Topic Modeling
6810: Theory of Computing
6815: Pseudorandomness and Combinatorial Constructions
6820: Analysis of Algorithms
6825: The Science Base for the Information Age
6830: Cryptography
6831: Designing Secure Cryptography
6832: Applied Cryptography
6850: The Structure of Information Networks
6860: Logics of Programs
6861: Introduction to Kleene Algebra
7090: Computer Science Colloquium
7190: Seminar in Programming Languages
7192: Seminar in Programming Refinement Logics
7194: Great Works in Programming Languages
7290: Seminar on Scientific Computing and Numerics
7390: Database Seminar
7490: Systems Research Seminar
7493: Computer Security Seminar
7594: Seminar on Computational Issues in Health and Medicine
7670: Special Topics in Computer Vision
7690: Computer Graphics Seminar
7790: Seminar in Artificial Intelligence
7792: Special Topics in Machine Learning
7794: Seminar in Natural Language Understanding
7796: Robotics Seminar
7890: Seminar in Theory of Algorithms and Computing
7893: Cryptography Seminar
7999: Independent Research
9999: Thesis Research

cctv surveillance course

Our CCTV Installation – level 1 qualification covers the following areas:
FIVE compulsory units must be completed by all students

Unit 1 Introduction to CCTV
  • Introduction to CCTV installation
  • CCTV Video signals (H 264, Mpeg 2, H 265, H 265 +)
  • Cabling and connectors (CAT5, CAT6 & Coax)
  • Crimping BNC, CAT5 & keystone connectors
  • Video transmission (analogue to digital, megapixel cameras)
  • Assembling a CCTV system Troubleshooting using CCTV tester
Unit 2 Electrical and CCTV installation
  • How to design a cable run
  • Introduction to Ohm’s law
  • How to choose the right type of cable
  • Installing CCTV cameras with RG59 & CAT5
  • Installing CCTV power supplies
  • Using electrical tools
Unit 3 – CCTV system designing
  • Introduction to recording resolution, frames per second & lens sizes
  • How to calculate field of view (Selecting the correct types of lens size, recording resolution and configuring frames per second)
  • Digital CCTV storage and lighting (DVR storage calculator, Illumination and camera sensitivity in CCTV)
  • PTZ camera installation (Protocols, baud rate in PTZ
  • Installing camera housing for bigger projects with power
Unit 4 – the Practical wiring of CCTV system
  • Running cables for a CCTV system (CAT5 & coaxial)
  • Installing passive and active balun for long CCTV cable run
  • Running shotgun cable and use of cable pulling tips and techniques
  • Installing junction boxes
Unit – 5 Networking in CCTV
  • Remote access and mobile app viewing
  • Local area networking and wider are networks
  • Assigning a local area IP address to a DVR via DHCP
  • Techniques used in assigning a unique and static local IP address to a DVR and NVR
  • Private and public IP address
  • TCP and IP setting

  • Mobile phone view through P2P

PSYCHOLOGY


Semester/
Year

Name of Subject



First
English-I


Pakistan Studies


Math – I

Statistics – I

Sociology – I


Introduction to Psychology





Second
English-II


Islamic Studies / Ethics

Math / Univ. Optional

Biology – I

Economics


History and Schools of Psychology


Third
English-III


Introduction to Computer


Statistics – II


Sociology – II


Experimental Psychology


Personality   Theories – I





Fourth
English-IV / Univ. Optional

Economics – II


Biology – II

Introduction to Social Psychology

Personality Theories – II




Fifth
Mental Health and Psycho-pathology – I


Neurological Basis of Behavior


Psychological Testing – I


Research Methods – I

Elementary Statistics




Sixth
Mental Health and Psycho-pathology – II


Developmental Psychology

Psychological Testing – II  


Research Methods – II

Applied Statistics


Advance Social Psychology





Seventh
Positive Psychology


Educational Psychology


Elective-I


Elective-II

Internship



Eighth
Cross Cultural Psychology

Cognitive Psychology


Elective-III


Elective-IV


Research Project 




Chemical Technology-



Semester 1 
Functional English 
Islamic Studies/Ethics 

Chemical Process

Engineering Drawing 

Inorganic & Organic Chemistry 
Calculus & Statistics



Semester 2
Physical &AnalyticalChemistry 
 Pakistan Studies 
Differential Equations 
Applied Physics 
Communication Skills
Chemical ProcessTechnology 



Semester 3 

Workshop Practices 
Applied Electrical Engineering 
Applied Biology 
Engineering Thermodynamics 
Engineering Mathematics 
Fluid Mechanics-I
Engineering Mechanics 



 Semester 4
Computer AidedEngineering Drawing 
ComputerFundamentals &Programming 
 Chemical EngineeringThermodynamics 
Particulate Technology
Social Sciences-I 
Chemical ProcessCalculations-II 


Semester 5
Mass Transfer 
Fluid Mechanics-II 
Engineering Materials

Heat Transfer

Industrial Management 



 Semester 6


Fuels & Energy
Chemical Reaction Engineering  
MaintenanceEngineering &Safety
NumericalMethods &SoftwareApplications
 EngineeringEconomics
Technical ReportWriting &Presentation Skills 




Semester 7 

Simultaneous Heat and Mass Transfer
Instrumentation & Process Control 

Chemical Plant Design 

Elective-I 
Design Project- I



Semester 8
Transport Phenomena 

Elective-II 
Elective-III 
Chemical ProcessDesign &Simulation 
Design Project-II 

Nuclear Technology



SEMESTER 1


 Chemical Principles

Experimental Chemistry 1
Rhetoric and Composition or
Honors Freshman Composition

Introduction to Engineering Design 
 Calculus with Analytic Geometry I
 Calc with Analytic Geometry II 



SEMESTER 2


First Year Seminar 1

 Microeconomic Analysis & Policy 
 Macroeconomic Analysis & Policy
 PHYS 211 Mechanics  

 Calc with Engineering Applications I 
 Calc with Engineering Applications II
 Health/Physical Activity 



SEMESTER 3


 C++ for Engineers (Preferred) or
 Programming with MATLAB E 

 Statics 
MATH 251 Ordinary and Partial Differential Eq. 4
PHYS 212 Electricity and Magnetism 


SEMESTER 4


 Dynamics 

Strength of Materials 
Strength of Materials with Design

Health/Physical Activity 
Engineering Thermodynamics 
MATH 230 Calculus of Several Variables 
Wave Motion and Quantum Physics 


SEMESTER 5


Effective Speech 

Fluid Flow

Fundamentals of Reactor Physics 4

Analytical Techniques for Nuclear Concepts

Issues in Nuclear Engineering 



SEMESTER 6


Intro to Electronic Measuring Systems 
Heat Transfer 
MCH 315 Mechanical Response of Engr. Mat’l. 
Experimental Determination of Mechanical
Response of Materials 
Intro to Reactor Design
Radiation Detection and Measurement 


SEMESTER 7


Technical Writing 
Advanced Reactor Design 3 

Design Principles of Reactor Systems
Experiments in Reactor Physics 
Technical Elective 


SEMESTER 8


General Technical Elective 3
Nuclear Reactor Core Design Synthesis 
Technical Elective