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Table of contents
- Courses for Computer Science | University of Alabama
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The lab-intensive environment provides opportunities to understand how perimeter defenses work and how hackers are able to compromise information systems. With awareness of hacking strategies, students learn to counteract those attempts in an ethical manner. Topics include: problem solving and design; control structures; objects and events; user interface construction; and document and program testing. Techniques for the improvement of application and systems programming will be covered and other topics may include memory management, C Library functions, debugging, portability, and reusable code.
This course is an introduction to the Java programming language. Topics in this course include object-oriented programming constructs, Web page applet development, class definitions, threads, events and exceptions. This course is a second course of a sequence using the Java programming language. Upon completion, the student will be able to demonstrate knowledge of the topics through programming projects and appropriate exams. Included are structured programming techniques, report preparation, arithmetic operations, conditional statements, group totals, and table processing.
This course is a study of contemporary theory and systems analysis and design. Emphasis is placed on investigating, analyzing, designing, implementing, and documenting computer systems. This course is an advanced object-oriented programming course and covers advanced program development techniques and concepts in the context of an object-oriented language. Subject matter includes object-oriented analysis and design, encapsulation, inheritance, polymorphism operator and function overloading , information hiding, abstract data types, reuse, dynamic memory allocation, and file manipulation.
Upon completion, students should be able to develop a hierarchical class structure necessary to the implementation of an object-oriented software system.
Courses for Computer Science | University of Alabama
This course is a case study involving the assignment of a complete system development project for analysis, programming, implementation, and documentation. Topics include planning system analysis and design, programming techniques, coding and documentation. Upon completion students should be able to design, code, test, and document a comprehensive computer information system.
This course allows study of currently relevant computer science topics, with the course being able to be repeated for credit for each different topic covered. Course content will be determined by the instructor and will vary according to the topic being covered. Upon completion, the student will be able to demonstrate comprehension of the specified topics.
This course allows independent study under the direction of an instructor. Topics to be included in the course material will be approved by the instructor prior to or at the beginning of the class. Upon completion, the student will be able to demonstrate knowledge of the topics as specified by the instructor. Computer Science. CIS : Spreadsheet Software Applications This course provides students with hands-on experience using spreadsheet software.
CIS : Presentations Graphics Software Applications This course provides students with hands-on experience using presentation graphics software. As required by college. CIS : Database Management Software Applications This course provides students with hands-on experience using database management software.
CIS : Intro to Information Systems This course is an introduction to computers that reviews computer hardware and software concepts such as equipment, operations, communications programming and their past, present and future impact on society. CIS : Microcomputer Applications This course is an introduction to the most common microcomputer software applications. CIS or permission of instructor.
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CIS : Post Advanced Microcomputer Applications This course builds on concepts associated with various microcomputer applications with emphasis on advanced features commonly found in software applications. CIS : Introduction to Computer Logic and Programming This course includes logic, design and problem solving techniques used by programmers and analysts in addressing and solving common programming and computing problems.
CIS : Introduction to Mobile App Development The purpose of this course is to introduce students to various app development tools for various mobile platforms. CIS : Multimedia for the World Wide Web This course covers contemporary, interactive multimedia technology systems, focusing on types, applications, and theories of operation.
CIS : Intro to Computer Programming Concepts This course introduces fundamental concepts, including an algorithmic approach to problem solving via the design and implementation of programs in selected languages.
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As required by program. CIS : Advanced Computer Programming Concepts This course covers the concepts of algorithm specifications, structured programming, data representation, searching, sorting, recursion, simple data structures, language description, and problem testing.
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CIS CIS : Introduction to Computer Programming Lab This lab is designed to allow instructors to provide additional implementation of programming concepts as needed. The coursework is approached from an engineering perspective offering insights on the details of nanoscale fabrication processes as well as cell biology. Response of linear systems to stochastic inputs. Distribution functions, power spectra, correlation functions, noise theory.
Detection of electrical signal in the presence of noise. Applications of radar, radio signal fading, etc. Special Topics EEL credits Prerequisite: Permission of instructor Lower-division special topics in areas of electrical engineering not covered by other courses such as experimental advanced high school work. Illustrates the numerical problem-solving process, testing and interpretation of results through a variety of engineering examples and applications. Circuits 1 EEL 3 credits Prerequisites: PHY and EGN with grades of "C" or better Prerequisites or Corequisites: MAC and MAP Introductory to electric circuit analysis: passive and active sign conventions; Ohm's and Kirchhoff's laws; network analysis, theorems as applied to d-c and a-c circuits; basic op-amp circuits; single time constant transient analysis; phaser representations and sinusoidal steady state; real and reactive single phase power.
Electronics Laboratory 1 EEL L 2 credits Prerequisite or Corequisite: EEE Introduction to basic electronic test equipment; measurement techniques, experimental analysis and design of linear and non-linear circuits. Electromagnetic Fields and Waves EEL 3 credits Prerequisites: EEL , MAC Vector analysis, electrostatic fields, magnetostatic fields, transverse electromagnetic waves, reflection and refraction of plane waves, and transmission lines.
Topics include physical realizability, passive and active 2-port network synthesis, sensitivity calculations, switched capacitor filters, OTAs, introduction to digital filters. The operation and analysis of power systems is presented. Topics include energy supply and demand, structure of power systems, power system components, voltage and frequency control and load flows. Microwave Engineering EEL C 3 credits Prerequisites: EEL , EEE Review of electromagnetics, transmission lines, waveguides, microwave network analysis, impedance matching and tuning, microwave resonators, microwave power dividers, couplers and filters, microwave oscillators and mixers, CAD design techniques.
Introduction to Antennas EEL 3 credits Prerequisite: EEL Antenna parameters, wire antennas, loop antennas, array matching techniques, broadband antennas, traveling wave antennas and antenna measurements. Electromagnetic Compatibility EEL 3 credits Prerequisites: EEE and EEL Introduction to electromagnetic compatibility EMC , intersystem and intra-system interferences and their characteristics, coupling by conduction and radiation, shielding, and interference reduction techniques.
Topics include system modeling and simulation, state variable analysis, signal flow graphs, transient and steady state response, stability analysis and design of controllers.
Analysis of Linear Systems EEL 3 credits Prerequisite: EEL with minimum grade of "C" State variables, delta function and Impulse response, convolution, Fourier Transform and applications, discrete time systems, Z-transform and applications, Fourier transform of discrete signals. Directed Independent Study EEL credits Prerequisite: Permission of instructor Study of topics relating to the special needs and interests of individual students.
May be taken for repeated credit. Special Topics EEL credits Prerequisite: Permission of instructor Topics in specialized areas, such as networks, electronics, and machines, not adequately covered in other courses. May be repeated for credit. This is accomplished through a combination of learned readings, penetrating discussions, computer models and software tools, and a final project and competition. Electrical Engineering Graduate Courses. Introduction to Bioengineering BME 3 credits Prerequisite: EEL Course provides a broad perspective of bioengineering as applied to topics in contemporary biology, physiology, and medicine, including biotechnology and bioinformatics.
Biosystems Modeling and Control BME 3 credits Dynamic modeling and control of select biological and physiological processes. Learning and studying molecular, cellular and tissue culture aspects of TE and Laboratory work and high level of instrumentations that helps this Laboratory work to grow the tissues.
Mechanical functions of the cells, extracellular matrix, types, quality, purposes of scaffolds as the supporters of 3-Dtissue growth, discussed. Concepts and definitions of molecular biological terms. Bioinformatics-definition and applications. Information resources and databases: Proteins and genomes. Biological sequence analysis and applications. Bioinformatics versus modern information networks and the World Wide Web. Biosignal Processing EEE 3 credits Prerequisite: EEL or permission of instructor This course covers the generation of bioelectrical signals, their acquisition, modeling and analysis.
Modeling and analysis tools cover adaptive filtering, time-frequency analysis, model-based spectral analysis, stochastic signals and signal representation in orthogonal bases: wavelet transforms.