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工程与应用科学

电气工程

 学校:  

凯斯西储大学

   硕士生项目

MS in Electrical Engineering

标准考试成绩要求

TOFEL:90

IELTS:7

学年学制

27 semester hours

学年学费

$1,840 per credit hour

奖学政策

提供奖学金

所在校区

暂无

专业排名

暂无

招生人数

暂无

录取要求

Graduate students shall be admitted to one of two M.S. degree programs (Plan A or Plan B) upon recommendation of the faculty of the Department. Requirements for admission include a strong record of scholarship in a completed bachelor's degree program in a field of engineering, mathematical or physical sciences, and fluency in written and spoken English. The University requires all foreign applicants to show English proficiency by achieving a TOEFL score of at least 577 on the paper-based exam or 90 on the internet-based exam. It is required that all students submit original copies of GRE scores, with the exception of CWRU students applying to the B.S./M.S. program. Applications from students with a bachelor's degree in fields other than those listed above may be granted admission on a provisional basis. Such provisional students may be advanced to full standing upon completion of prerequisite conditions stipulated in the letter of admission.

申请材料清单

Applicants should reach out directly to the program or department to which you are applying for specific program-related questions. Addresses for departments are in the Program Information section of the application or listed on their individual websites. Each program within the School of Graduate Studies is responsible for recommending admission of new graduate students. Final decisions are posted by our staff and can be viewed by logging in to the online application system.

The admissions team is here to assist in making your application and admissions process seamless. If you have specific questions relating any of the following topics, please call (216) 368-4390, stop by Tomlinson Hall, Room 203, or email gradadmit@case.edu.

Transcripts

Letters of recommendation

Test scores

Application fee

Online application system

Admission decisions and acceptance letters

CWRU Network IDs

Submitting official documents

If recommended for admission by your department, the School of Graduate Studies will then make the final decision on your application. If you have been accepted with conditions outlining the need to submit one or more official documents, you can view which documents are missing by logging back in to the online application system and viewing your admission letter.

Test Scores: To send official TOEFL or GRE test scores through ETS, use the institutional code of 1105 for Case Western Reserve University.

Official Transcripts: PDFs sent by email are not considered official and cannot be used for verification purposes. Official transcripts must come directly from the institution either mailed in a sealed envelope or sent electronically to the addresses below. International students - Documents in languages other than English must be accompanied by certified translations in English.

截止申请时间:

2月1日秋季/10月1日春季

专业介绍

Electrical Engineering and Computer Science (EECS) spans a spectrum of topics from (i) materials, devices, circuits, and processors through (ii) control, signal processing, and systems analysis to (iii) software, computation, computer systems, and networking. The EECS Department at Case Western Reserve supports five synergistic degree programs: Data Science and Analytics, Electrical Engineering, Systems and Control Engineering, Computer Engineering, and Computer Science. Each degree program leads to the Bachelor of Science degree at the undergraduate level. The department also offers a Bachelor of Arts in Computer Science for those students who wish to combine a technical degree with a broad education in the liberal arts. At the graduate level, the department offers the Master of Science and Doctor of Philosophy degrees in Electrical Engineering, Computer Engineering, Systems & Control Engineering, and Computing & Information Sciences (i.e., computer science). We offer minors in Electrical Engineering, Computer Science (BS and BA), Computer Engineering, Systems & Control Engineering, and also in Computer Gaming, Artificial Intelligence (AI), and Electronics. Additionally, a minor in Applied Data Science is administered by the Department of Materials Science and Engineering. For supplemental information to this bulletin as well as the latest updates, please visit the EECS Department web site at http://eecs.case.edu.

EECS is at the heart of modern technology. EECS disciplines are responsible for the devices and microprocessors powering our computers and embedded into everyday devices, from cell phones and tablets to automobiles and airplanes. Healthcare is increasingly building on EECS technologies: micro/nano systems, electronics/instrumentation, implantable systems, wireless medical devices, surgical robots, imaging, medical informatics, bioinformatics, system biology, and data mining and visualization. The future of energy will be profoundly impacted by EECS technologies, from smart appliances connected to the Internet, smart buildings that incorporate distributed sensing and control, to the envisioned smart grid that must be controlled, stabilized, and kept secure over an immense network. EECS drives job creation and starting salaries in our fields are consistently ranked in the top of all college majors. Our graduates work in cutting-edge companies--from giants to start-ups, in a variety of technology sectors, including computer and internet, healthcare and medical devices, manufacturing and automation, automotive and aerospace, defense, finance, energy, and consulting.

Department Structure

EECS at Case Western Reserve is organized internally into two informal divisions: (i) Computer Science (CS); and (ii) Electrical, Computer, and Systems Engineering (ECSE).

Students must demonstrate competency in one of the following areas within electrical engineering in which the electrical engineering faculty have established research thrust areas:

Circuits and Instrumentation

Robotics

Micro- and Nano-systems

To demonstrate competency in one of these areas, the student must do one of the following: (1) take the course for that area and pass that course with a grade of A, or (2) pass a written exam for that specific area. The designated courses for each of the areas are:

Circuits and Instrumentation: EECS 426 MOS Integrated Circuit Design

Robotics: EECS 489 Robotics I

Micro- and Nano-systems: EECS 422 Solid State Electronics II

In the event that a designated course is not offered within a reasonable period of time, the student may petition the faculty in electrical engineering to designate a suitable substitute.

A student failing to meet the requirements proscribed above may, with the support of his/her dissertation research advisor, petition the faculty for an oral exam. The oral exam will consist of a 30 minute presentation by the student to a 3-member examination committee made up of electrical engineering faculty. The topic will be drawn from the student's area of interest as selected by his/her advisor and approved by the committee. The topic may not come directly from the student's MS thesis conducted at CWRU or elsewhere.

A student has completed the Ph.D. Qualifier in electrical engineering when: (1) he/she has successfully completed the aforementioned competency requirement, (2) a group of faculty within his/her selected research area has conducted a review of the student's academic record and determined that adequate progress has been made, and (3) the student has formally identified a dissertation advisor.

The written portion of the PhD Qualifier in Electrical Engineering is designed to assess a student's knowledge and understanding of topics fundamental to all electrical engineering students pursuing a doctorate in the field. The written exam will consist of questions at the advanced undergraduate level covering material from the three topic areas listed below. Courses currently in the EE undergraduate curriculum corresponding to a particular topic area are listed in parentheses.

EECS 309 Electromagnetic Fields I

EECS 245 Electronic Circuits, EECS 281 Logic Design and Computer Organization)

EECS 246 Signals and Systems

Exam problems will be limited to materials contained in the selected references as well as the aforementioned courses. Sample problems from previous exams as well as a list of relevant references are available upon request.

Students must show competency in all three tested areas. Upon recommendation of the faculty, a student showing marginal proficiency in one area may be required to correct this deficiency, for example, by taking an appropriate course (as determined by the faculty) and pass this course with at least a B grade or by serving as a teaching assistant of an appropriate course.

The written part of the Qualifying Exam for Electrical Engineering will be offered at least once a year during the month of January, prior to the beginning of the spring semester.

课程设置

  • DSCI 133. Introduction to Data Science and Engineering for Majors. 3 Units.
  • DSCI 234. Structured and Unstructured Data. 3 Units.
  • DSCI 341. Introduction to Databases: DS Major. 3 Units.
  • DSCI 342. Introduction to Data Science Systems. 3 Units.
  • DSCI 343. Introduction to Data Analysis. 3 Units.
  • DSCI 344. Scalable Parallel Data Analysis. 3 Units.
  • DSCI 345. Files, Indexes and Access Structures for Big Data. 3 Units.
  • DSCI 390. Machine Learning for Big Data. 3 Units
  • DSCI 391. Data Mining for Big Data. 3 Units.
  • EECS 132. Introduction to Programming in Java. 3 Units.
  • EECS 216. Fundamental System Concepts. 3 Units.
  • EECS 233. Introduction to Data Structures. 4 Units.
  • EECS 245. Electronic Circuits. 4 Units.
  • EECS 246. Signals and Systems. 4 Units.
  • EECS 275. Fundamentals of Robotics. 4 Units.
  • EECS 281. Logic Design and Computer Organization. 4 Units.
  • EECS 290. Introduction to Computer Game Design and Implementation. 3 Units.
  • EECS 293. Software Craftsmanship. 4 Units.
  • EECS 293N. Software Craftsmanship. 4 Units. .
  • EECS 296. Independent Projects. 1 - 3 Units.
  • EECS 297. Special Topics. 1 - 3 Units. .
  • EECS 301. Digital Logic Laboratory. 2 Units.
  • EECS 302. Discrete Mathematics. 3 Units.
  • EECS 304. Control Engineering I with Laboratory. 3 Units.
  • EECS 305. Control Engineering I Laboratory. 1 Unit.
  • EECS 309. Electromagnetic Fields I. 3 Units.
  • EECS 313. Signal Processing. 3 Units.
  • EECS 314. Computer Architecture. 3 Units.
  • EECS 315. Digital Systems Design. 4 Units.
  • EECS 316. Computer Design. 3 Units.
  • EECS 318. VLSI/CAD. 4 Units.
  • EECS 319. Applied Probability and Stochastic Processes for Biology. 3 Units.
  • EECS 321. Semiconductor Electronic Devices. 4 Units.
  • EECS 322. Integrated Circuits and Electronic Devices. 3 Units.
  • EECS 324. Modeling and Simulation of Continuous Dynamical Systems. 3 Units.
  • EECS 325. Computer Networks I. 3 Units.
  • EECS 325N. Computer Networks I. 3 Units.
  • EECS 326. Instrumentation Electronics. 3 Units.
  • EECS 329. Introduction to Nanomaterials: Material Synthesis, Properties and Device Applications. 3 Units.
  • EECS 337. Compiler Design. 4 Units.
  • EECS 338. Intro to Operating Systems and Concurrent Programming. 4 Units.
  • EECS 338N. Intro to Operating Systems and Concurrent Programming. 4 Units.
  • EECS 339. Web Data Mining. 3 Units.
  • EECS 340. Algorithms. 3 Units.
  • EECS 340N. Algorithms. 3 Units.
  • EECS 341. Introduction to Database Systems. 3 Units. .
  • EECS 341N. Introduction to Database Systems. 3 Units.
  • EECS 342. Introduction to Global Issues. 3 Units.
  • EECS 342I. Global Issues, Health, & Sustainability in India. 3 Units.
  • EECS 343. Theoretical Computer Science. 3 Units.
  • EECS 344. Electronic Analysis and Design. 3 Units.
  • EECS 345. Programming Language Concepts. 3 Units.
  • EECS 345N. Programming Language Concepts. 3 Units.
  • EECS 346. Engineering Optimization. 3 Units.
  • EECS 350. Operations and Systems Design. 3 Units.
  • EECS 351. Communications and Signal Analysis. 3 Units.
  • EECS 352. Engineering Economics and Decision Analysis. 3 Units.
  • EECS 354. Digital Communications. 3 Units.
  • EECS 360. Manufacturing and Automated Systems. 3 Units.
  • EECS 365. Complex Systems Biology. 3 Units.
  • EECS 366. Computer Graphics. 3 Units.
  • EECS 368. Power System Analysis I. 3 Units.
  • EECS 369. Power System Analysis II. 3 Units.
  • EECS 370. Smart Grid. 3 Units.
  • EECS 371. Applied Circuit Design. 4 Units.
  • EECS 374. Advanced Control and Energy Systems. 3 Units.
  • EECS 375. Applied Control. 3 Units.
  • EECS 376. Mobile Robotics. 4 Units.
  • EECS 390. Advanced Game Development Project. 3 Units.
  • EECS 391. Introduction to Artificial Intelligence. 3 Units.
  • EECS 392. App Development for iOS. 3 Units.
  • EECS 393. Software Engineering. 3 Units.
  • EECS 393N. Software Engineering. 3 Units.
  • EECS 394. Introduction to Information Theory. 3 Units.
  • EECS 395. Senior Project in Computer Science. 4 Units.
  • EECS 396. Independent Projects. 1 - 6 Units.
  • EECS 397. Special Topics. 1 - 6 Units.
  • EECS 398. Engineering Projects I. 4 Units.
  • EECS 399. Engineering Projects II. 3 Units.
  • EECS 400T. Graduate Teaching I. 0 Unit.
  • EECS 401. Digital Signal Processing. 3 Units.
  • EECS 402. Internet Security and Privacy. 3 Units.
  • EECS 404. Digital Control Systems. 3 Units.
  • EECS 405. Data Structures and File Management. 3 Units.
  • EECS 408. Introduction to Linear Systems. 3 Units.
  • EECS 410. Mobile Health (mHealth) Technology. 3 Units.
  • EECS 411. Applied Engineering Statistics. 3 Units.
  • EECS 413. Nonlinear Systems I. 3 Units.
  • EECS 414. Wireless Communications. 3 Units.
  • EECS 415. Integrated Circuit Technology I. 3 Units.
  • EECS 416. Convex Optimization for Engineering. 3 Units.
  • EECS 418. System Identification and Adaptive Control. 3 Units.
  • EECS 419. Computer System Architecture. 3 Units.
  • EECS 421. Optimization of Dynamic Systems. 3 Units.
  • EECS 422. Solid State Electronics II. 3 Units.
  • EECS 424. Introduction to Nanotechnology. 3 Units.
  • EECS 425. Computer Networks I. 3 Units.
  • EECS 426. MOS Integrated Circuit Design. 3 Units.
  • EECS 427. Optoelectronic and Photonic Devices. 3 Units.
  • EECS 428. Computer Communications Networks II. 3 Units.
  • EECS 429. Introduction to Nanomaterials: Material Synthesis, Properties and Device Applications. 3 Units.
  • EECS 433. Database Systems. 3 Units.
  • EECS 434. Microfabricated Silicon Electromechanical Systems. 3 Units.
  • EECS 435. Data Mining. 3 Units.
  • EECS 439. Web Data Mining. 3 Units.
  • EECS 440. Machine Learning. 3 Units.
  • EECS 444. Computer Security. 3 Units.
  • EECS 450. Operations and Systems Design. 3 Units.
  • EECS 452. Random Signals. 3 Units.
  • EECS 454. Analysis of Algorithms. 3 Units.
  • EECS 458. Introduction to Bioinformatics. 3 Units.
  • EECS 459. Bioinformatics for Systems Biology. 3 Units.
  • EECS 460. Manufacturing and Automated Systems. 3 Units.
  • EECS 466. Computer Graphics. 3 Units.
  • EECS 467. Commercialization and Intellectual Property Management. 3 Units.
  • EECS 468. Power System Analysis I. 3 Units.
  • EECS 469. Power System Analysis II. 3 Units.
  • EECS 470. Smart Grid. 3 Units.
  • EECS 474. Advanced Control and Energy Systems. 3 Units.
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