computer engineering graduate admissions deficiency courses, Schemes and Mind Maps of Number Theory

Logic, sets, functions, elementary number theory and combinatorics, recursive algorithms, and mathematical reasoning, including induction. Emphasizes ...

Typology: Schemes and Mind Maps

2022/2023

Uploaded on 05/11/2023

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COMPUTER ENGINEERING
GRADUATE ADMISSIONS DEFICIENCY COURSES
Computer Engineering graduate students should have knowledge in the following topics prior to
applying for the program at Arizona State University: Signals and Systems, Signal Analysis,
Discrete Math, Computer Architecture & Organization, and Algorithms & Data Structures.
CSE 230 COMPUTER ORGANIZATIONS AND ASSEMBLY
LANGUAGE PROGRAMMING (3)
Register-level computer organization. Instruction set architecture. Assembly language. Processor
organization and design. Memory organization. IO programming, Exception/interrupt handling.
Prerequisites: CSE 100, CSE 110, CSE 120, or EEE 120.
CSE 310 DATA STRUCTURES AND ALGORITHMS (3)
Advanced data structures and algorithms, including stacks, queues, trees (B, B+, AVL), and
graphs. Searching for graphs, hashing and external sorting.
Prerequisite: CSE 220 or CSE 240; and MAT 243.
EEE 203 SIGNALS AND SYSTEMS (3)
Introduces continuous and discrete time signal and system analysis, linear systems, Fourier, and
z-transforms.
Pre-requisites: EEE 202; Pre-requisite: MAT 242 with C or better if completed or Pre/Co-
requisite: MAT 342 or 343 with C or better if completed
EEE 350 RANDOM SIGNAL ANALYSIS (3)
Probabilistic and statistical analysis as applied to electrical signals and systems
Prerequisite(s): MAE 317 or pre- or co-requisite: EEE 203;
MAT 243 DISCRETE MATH STRUCTURES (3)
Logic, sets, functions, elementary number theory and combinatorics, recursive algorithms, and
mathematical reasoning, including induction. Emphasizes connections to computer science.
Prerequisites: MAT 210, MAT 251, MAT 265, or MAT 270.

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COMPUTER ENGINEERING

GRADUATE ADMISSIONS DEFICIENCY COURSES

Computer Engineering graduate students should have knowledge in the following topics prior to applying for the program at Arizona State University: Signals and Systems, Signal Analysis, Discrete Math, Computer Architecture & Organization, and Algorithms & Data Structures.

CSE 230 COMPUTER ORGANIZATIONS AND ASSEMBLY

LANGUAGE PROGRAMMING (3)

Register-level computer organization. Instruction set architecture. Assembly language. Processor organization and design. Memory organization. IO programming, Exception/interrupt handling. Prerequisites: CSE 100, CSE 110, CSE 120, or EEE 120.

CSE 310 DATA STRUCTURES AND ALGORITHMS (3)

Advanced data structures and algorithms, including stacks, queues, trees (B, B+, AVL), and graphs. Searching for graphs, hashing and external sorting. Prerequisite: CSE 220 or CSE 240; and MAT 243.

EEE 203 SIGNALS AND SYSTEMS (3)

Introduces continuous and discrete time signal and system analysis, linear systems, Fourier, and z-transforms. Pre-requisites: EEE 202; Pre-requisite: MAT 242 with C or better if completed or Pre/Co- requisite: MAT 342 or 343 with C or better if completed

EEE 350 RANDOM SIGNAL ANALYSIS (3)

Probabilistic and statistical analysis as applied to electrical signals and systems Prerequisite(s): MAE 317 or pre- or co-requisite: EEE 203;

MAT 243 DISCRETE MATH STRUCTURES (3)

Logic, sets, functions, elementary number theory and combinatorics, recursive algorithms, and mathematical reasoning, including induction. Emphasizes connections to computer science. Prerequisites: MAT 210, MAT 251, MAT 265, or MAT 270.