Entrance Exam Materials, Computer Science Department of Soran University, Ph.D Applicants
Topics
Digital Logic
Mathematics and statistics
Details
References
Boolean Algebra, Signed numbers, Implementation of
Boolean functions using Decoder, Encoder, Multiplexer, DeMultiplexer. Flip-flops and Design all types of counters.
Matrix – Derivative – Integral, (Mean, Mode, Average,
Standard deviations, Variance, Correlation, Histogram)
“Logic and Computer Design Fundamentals”, Fifth Edition, M.
Morris Mano, Charles R. Kime, Tom Martin.
First 4 Chapters
1- “Calculus”, Gilbert Strong, Chapters (2,4,5 and 7) for
Derivative and Integral. 2- “Fundamentals Matrix Algebra”,
Gregory Hartman, Chapters (2 and 3) for Matrices. 3“Fundamental of Mathematics Statistics”, S. C. Gupta, V. K.
Kapoor, Chapters (1 and 2) for statistics
“Beginning C# Object Oriented Programming” Dan Clark, Jeff
Sanders,
First 7 Chapters
OOP
Class, Method, abstraction, encapsulation, polymorphism,
and inheritance
Machine Learning
Basic concepts of Machine Learning, SVM, Linear,, KNN,
regression, decision tree, Naïve Bayes Classifier, Kmeans, Kmode. Convolutional Neural Network, Fuzzy Clustering,
,Logistic regression, reinforcement learning, Random
forest,
Histogram, RGB and Gray, Camera Sensors, Image
enhancement, Spatial and frequency domain processing,
Hamard and Convolution, Filters, Equalizations, BitPlanes
Image Processing
“Machine Learning Algorithms”, Giuseppe Bonaccorso
First 10 Chapters of this book.
Chapter 14, deep learning as a glance.
“Digital Image Processing”, Fourth Edition, Rafael C.
Gonzales, Richard E. Woods
First 6 Chapters
Computer Science Department: Entrance Exam-PhD, Master, High Diploma-2023 Intake
Entrance Exam Materials, Computer Science Department of Soran University, Master of Science Applicants
Topics
Digital Logic
Mathematics and statistics
Details
References
Boolean Algebra, Signed numbers, Implementation of
Boolean functions using Decoder, Encoder, Multiplexer, DeMultiplexer. Flip-flops.
Matrix – Derivative – Integral, (Mean, Mode, Average,
Standard deviations, Variance, Correlation, Histogram)
“Logic and Computer Design Fundamentals”, Fifth Edition, M.
Morris Mano, Charles R. Kime, Tom Martin.
First 4 Chapters
1- “Calculus”, Gilbert Strong, Chapters (2,4,5 and 7) for
Derivative and Integral. 2- “Fundamentals Matrix Algebra”,
Gregory Hartman, Chapters (2 and 3) for Matrices. 3“Fundamental of Mathematics Statistics”, S. C. Gupta, V. K.
Kapoor, Chapters (1 and 2) for statistics
“Beginning C# Object Oriented Programming” Dan Clark, Jeff
Sanders,
First 7 Chapters
OOP
Class, Method, abstraction, encapsulation, polymorphism,
and inheritance
Machine Learning
Basic concepts of Machine Learning, SVM, Linear,, KNN,
regression, decision tree, Naïve Bayes Classifier, Kmeans, Kmode, Random forest,
Virtualization concepts, Cloud fundamentals, Private cloud
environment, Public cloud environment, Autoprovisioning., Cloud as PaaS, SaaS, Cloud computing
securitization. servers (physical servers and virtual
servers), data storage.
Cloud Computing
“Machine Learning Algorithms”, Giuseppe Bonaccorso
First 10 Chapters of this book.
“Cloud Computing”, Sandeep Bhowmik, Chapters (20, 11, 8,
7,6,5,4,3,2 and 1) and Parts (16.1,16.2, 16.3,16.4, 10.1, 10.2,
10.3, 9.1,9.2,9.3 and 9.4)
Computer Science Department: Entrance Exam-PhD, Master, High Diploma-2023 Intake
Entrance Exam Materials, Computer Science Department, Soran University, High Diploma of Science Applicants
Topics
Digital Logic
Mathematics and statistics
Details
References
Boolean Algebra, Signed numbers, Implementation of
Boolean functions using Decoder, Encoder, Multiplexer, DeMultiplexer. Flip-flops.
Matrix – Derivative – Integral, (Mean, Mode, Average,
Standard deviations, Variance, Correlation, Histogram)
“Logic and Computer Design Fundamentals”, Fifth Edition, M.
Morris Mano, Charles R. Kime, Tom Martin.
First 4 Chapters
1- “Calculus”, Gilbert Strong, Chapters (2,4,5,7) for Derivative
and Integral. 2- “Fundamentals Matrix Algebra”, Gregory
Hartman, Chapters (2 and 3) for Matrices. 3- “Fundamental of
Mathematics Statistics”, S. C. Gupta, V. K. Kapoor, Chapters
(1 and 2) for statistics
“Beginning C# Object Oriented Programming” Dan Clark, Jeff
Sanders,
First 7 Chapters
OOP
Class, Method, abstraction, encapsulation, polymorphism,
and inheritance
Machine Learning
Basic concepts of Machine Learning, KNN, linear
regression, decision tree, Kmeans, K-mode,
“Machine Learning Algorithms”, Giuseppe Bonaccorso
Chapters (1,2,4,6,8 and 9)
Database
Data models, the relational data model, Entity-Relationship
Modeling, mapping ER models to relational model, The
Relational Data Model and relational database constraints,
Relational Algebra operations, Introduction to SQL, Data
modeling, anomalies, redundancy, normal forms based on
functional dependencies.
“Database Systems, Design Implementation & Management”
13th Edition, Carlos Coronel and Steven Morris.
First 6 Chapters.
Computer Science Department: Entrance Exam-PhD, Master, High Diploma-2023 Intake