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        卡耐基梅隆大學(xué)計算機專業(yè)項目解析

        字號:


            你是否下想去美國卡耐基梅隆大學(xué)讀計算機呢?出國留學(xué)網(wǎng)整理了這些干貨,希望對有意向的同學(xué)有所幫助。
            先來看看卡耐基梅隆大學(xué)計算機專業(yè)解析
            卡耐基梅隆大學(xué)的計算機科學(xué)學(xué)院是世界公認(rèn)的計算機科學(xué)和機器人教育各個方面的領(lǐng)導(dǎo)者。國際調(diào)研結(jié)果始終將卡耐基梅隆大學(xué)計算機科學(xué)的研究生項目列于美國最優(yōu)秀項目之列。華爾街日報的調(diào)研將學(xué)校計算機科學(xué)本科項目在企業(yè)招聘名錄中位列第一。
            卡耐基梅隆大學(xué)的計算機科學(xué)學(xué)院的教師隊伍在信息技術(shù),網(wǎng)絡(luò),網(wǎng)絡(luò)安全和機器人技術(shù)領(lǐng)域的始終處于領(lǐng)先地位。他們與非營利機構(gòu)和行業(yè)客戶們緊密合作,將成熟的技術(shù)從概念傳遞到最終用戶手中。在生命科學(xué)技術(shù)質(zhì)量中心,研究人員開發(fā)技術(shù),使得老年人,殘疾人和受傷的退伍軍人可以獨立生活。
            計算機科學(xué)學(xué)院在以下專業(yè)領(lǐng)域獲得高度評價,包括編程語言,人工智能,計算機系統(tǒng)和理論。
            再看看卡耐基梅隆大學(xué)CMU計算機軟件工程專業(yè)解讀
            計算機工程專業(yè)排名:4
            項目:軟件工程碩士Master of Science (M.S.) in Software Engineering
            項目介紹
            卡耐基梅隆大學(xué)軟件工程專業(yè)開設(shè)在電子計算機工程院系下面,只有硅谷校區(qū)開設(shè)。The Master of Science in Software Engineering (MS-SE) is a unique program offered exclusively at CMU’s Silicon Valley campus. It emphasizes a rigorous foundation in the principles of software engineering within the context of ECE’s top-ranked Computer Engineering program.
            Tuition
            $40,000/學(xué)年
            課程
            Foundations of Software Engineering
            Software Architecture and Design
            Software Validation, Verification, and Testing
            Service-Oriented Computing
            Mobile and Pervasive Computing
            Connected Embedded Systems Architecture
            Cloud Computing
            Low-Power System-on-Chip Architecture
            How to Write Fast Code
            Numerical Methods for Engineering Design and Optimization
            Statistical Discovery and Learning
            Wireless Network Security
            Mobile Hardware for Software Engineers
            Mobile Security
            Analytical Performance Modeling
            Machine Learning
            Requirements Analysis
            Innovation and Entrepreneurship
            申請截止日期
            Spring admission: October 1
            春季入學(xué)申請截止日期:10月1日
            Fall admission: December 15
            秋季入學(xué)申請截止日期:12月15日
            申請材料
            academic transcript
            Standardized test scores:
            TOEFL( 閱讀22分,聽力22, 口語18, 寫作22分)
            需要提交GRE
            Resume
            statement of purpose
            3 Letters of Recommendation
            申請費:$70
            卡耐基梅隆大學(xué)CMU計算機科學(xué)專業(yè)MSCS解讀
            計算機科學(xué)專業(yè)排名:1
            項目:計算機科學(xué)碩士M.S. in Computer Science (MSCS)
            項目介紹
            The MS program in Computer Science is not based on a fixed set of courses. Instead, students construct their own course of study, in consultation with their advisors, within broad guidelines. Thus, a student may choose an area in which to specialize (such as networking, machine learning, or algorithms) or choose not to specialize at all.
            該項目沒有固定課程,學(xué)生們可以自己靈活選擇。
            Most students will complete the program in three semesters. Students switching into Computer Science from another field may require an additional semester to fill in gaps in their undergraduate training.
            大部分學(xué)生在一年半的時間內(nèi)完成學(xué)業(yè)。
            The program consists entirely of coursework; there is generally no research component. The program is distinct from the PhD program in Computer Science: Master's students will not usually continue into the PhD program. MS graduates are welcome to apply to the PhD program, but will not receive preferential treatment.
            課程
            Qualifying courses outside of CSD:
            02-712 Computational Methods for Biological Modeling and Simulation
            05-813 Human Factors
            05-891 Designing Human-Centered Software
            10-601 Machine Learning
            10-702 Statistical Machine Learning
            10-705 Intermediate Statistics
            10-708 Probabilistic Graphical Models
            10-725 Optimization
            11-741 Information Retrieval
            11-772 Analysis of Social Media
            16-642 Manipulation, Mobility and Control
            16-720 Computer Vision
            16-811 Mathematical Foundations for Robotics
            17-651 Models of Software Systems
            17-654 Analysis of Software Artifacts
            17-993 How to Write a Good Research Paper
            18-730 Introduction to Computer Security
            18-739 Foundations of Privacy and Security
            18-741 Advanced Computer Architecture
            18-742 Parallel Computer Architecture
            18-756 Packet Switching and Computer Networks
            18-847 Data Intensive Computation and Storage
            21-701 Discrete Math
            47-830 Integer Programming
            47-834 Linear Programming
            80-713 Category Theory
            Systems course menu:
            15-605 Operating Systems
            15-611 Compiler Design
            15-610 Engineering Distributed Systems
            15-612 Operating System Practicum
            15-615 Databases
            15-618 Parallel Computer Architecture and Programming
            15-640 Distributed Systems
            15-641 Computer Networks
            15-712 Advanced Operating Systems
            15-740 Computer Architecture
            15-744 Computer Networks
            15-745 Optimizing Compilers
            15-746 Advanced Storage Systems
            15-821 Mobile and Pervasive Computing
            15-826 Multimedia Databases and Data Mining
            Theoretical foundations menu:
            15-614 Bug Catching: Automated Program Verification and Testing
            15-651 Algorithms
            15-652 Foundations of Programming Languages
            15-657 Constructive Logic
            15-750 Graduate Algorithms
            15-812 Programming Language Semantics
            15-813 HOT Compilation
            15-814 Type Systems for Programming Languages
            15-817 Model Checking and Abstract Interpretation
            15-853 Algorithms in the Real World
            15-855 Complexity Theory
            15-857 Performance Modeling
            15-859 Randomized Algorithms
            Artificial intelligence menu:
            10-601 Machine Learning
            10-725 Optimization
            15-780 Graduate Artificial Intelligence
            15-781 Machine Learning
            15-887 Planning, Learning and Execution
            16-720 Computer Vision
            申請截止日期
            Early deadline, noon (12:00pm) EST December 3
            Final deadline, noon (12:00pm) EST December 15
            申請材料
            official transcripts, GPA3.0+
            Standardized test scores:TOEFL(送分代碼:4256)或雅思,需要提交GRE(代碼2074)
            申請費:$75 for one program and $50 for each additional program(12月3日之前); $125 for one program and $75 for each additional program(12月3日至15日)