#1
22nd July 2014, 10:38 AM
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PSU Computer Science Syllabus
Would you please provide here Pennsylvania State University Computer Science and Engineering syllabus?
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#2
22nd July 2014, 01:12 PM
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Re: PSU Computer Science Syllabus
You want to know Pennsylvania State University Computer Science and Engineering syllabus, i am giving here: Digital Design: Theory and Practice Introduction to Digital Systems Digital Design Laboratory Computer Organization and Design Communication Networks VLSI Digital Circuits Digital Integrated Circuits Digital Design Using Field Programmable Devices Introduction to Computer Architecture Fundamentals of Computer Vision Digital Image Processing I Logical Design of Digital Systems Microprocessors and Embedded Systems Microcomputer Laboratory Functional Verification Computer Engineering Project Design - Introduction to Programming Techniques Intermediate Programming - Programming for Engineers with MATLB Programming for Engineers with C++ Programming for Engineers with FORTRAN Introduction to Spreadsheets and Databases Object Oriented Programming with Web-Based Applications Introduction to Systems Programming Discrete Mathematics for Computer Science Database Management Systems Artificial Intelligence Introduction to Computer and Network Security Concurrent Scientific Computing Numerical Computations Introduction to Numerical Analysis I Introduction to Numerical Analysis II Fundamentals of Computer Graphics Programming Language Concepts Introduction to the Theory of Computation Data Structures and Algorithms Factorization and Primality Testing Introduction to Compiler Construction Operating Systems Design and Construction Software Design Methods Contact: Pennsylvania State University University Park, State College, PA 16801, United States +1 814-865-4700 Map: [MAP]https://www.google.co.in/maps?q=Pennsylvania+State+University+University+Pa rk,+State+College,+PA&hl=en&ll=40.811601,-77.860107&spn=0.066131,0.149517&sll=21.125498,81.9 14063&sspn=20.764432,38.276367&hq=Pennsylvania+Sta te+University+University+Park,+State+College,+PA&t =m&z=13&iwloc=A[/MAP] Last edited by Kiran Chandar; 22nd July 2014 at 01:21 PM. |
#3
22nd March 2015, 11:22 AM
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Re: PSU Computer Science Syllabus
I am preparing for the PSU exam. will you please forward me syllabus of the computer science applicable in PSU?
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#4
22nd March 2015, 11:23 AM
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Re: PSU Computer Science Syllabus
As per your request, I am giving you syllabus of the computer science applicable in Public Service undertaking entrance exams. GENERAL APTITUDE(GA): Verbal Ability: English grammar, sentence completion,passage reading, verbal analogies, word groups, instructions, critical reasoning and verbal deduction. Reasoning : Verbal & Non-Verbal General Knowledge & Current Affair ( History, Geography, Indian Polity, Life Science, Science & Technology ) Computer Science and Information Technology Digital Electronic Circuits : Transistor as a switching element; Boolean algebra, simplification of Boolean functions, Karnaguh map and applications; IC Logic gates and their characteristics; IC logic families : DTL, TTL, ECL, NMOS, PMOS and CMOS gates and their comparison; Combinational logic Circuits; Half adder, Full adder; Digital comparator; Multiplexer Demulti-plexer; ROM an their applications. Flip flops. R-S, J-K, D and T flip-flops; Different types of counters and registers Waveform generators. A/D and D/A converters. Semiconductor memories. Computer Organization and Architecture: Machine instructions and addressing modes, ALU and data-path, CPU control design, Memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and main memory, Secondary storage. Programming and Data Structures: Programming in C; Functions, Recursion, Parameter passing, Scope, Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary heaps. Algorithms: Analysis, Asymptotic notation, Notions of space and time complexity, Worst and average case analysis; Design: Greedy approach, Dynamic programming, Divide-and-conquer; Tree and graph traversals, Connected components, Spanning trees, Shortest paths; Hashing, Sorting, Searching. Asymptotic analysis (best, worst, average cases) of time and space, upper and lower bounds, Basic concepts of complexity classes P, NP, NP-hard, NP-complete. Theory of Computation: Regular languages and finite automata, Context free languages and Push-down automata, Recursively enumerable sets and Turing machines, Undecidability. Compiler Design: Lexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate and target code generation, Basics of code optimization. Operating System: Processes, Threads, Inter-process communication, Concurrency, Synchronization, Deadlock, CPU scheduling, Memory management and virtual memory, File systems, I/O systems, Protection and security. Databases: ER-model, Relational model (relational algebra, tuple calculus), Database design (integrity constraints, normal forms), Query languages (SQL), File structures (sequential files, indexing, B and B+ trees), Transactions and concurrency control. Information Systems and Software Engineering: information gathering, requirement and feasibility analysis, data flow diagrams, process specifications, input/output design, process life cycle, planning and managing the project, design, coding, testing, implementation, maintenance. Computer Networks: ISO/OSI stack, LAN technologies (Ethernet, Token ring), Flow and error control techniques, Routing algorithms, Congestion control, TCP/UDP and sockets, IP(v4), Application layer protocols (icmp, dns, smtp, pop, ftp, http); Basic concepts of hubs, switches, gateways, and routers. Network security basic concepts of public key and private key cryptography, digital signature, firewalls. Web technologies: HTML, XML, basic concepts of client-server computing. |
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