The PhD student must write a formal thesis proposal and defend it in an oral presentation to his or her Dissertation Advisory Committee. Normally this is done within a year of advancing to candidacy. A student who fails to defend his or her thesis proposal can attempt to defend it a second time after modifying the thesis proposal, but a second The PhD student must write a formal thesis proposal and defend it in an oral presentation to his or her Dissertation Advisory Committee. Normally this is done within a year of advancing to candidacy. A student who fails to defend his or her thesis proposal can attempt to defend it a second time after modifying the thesis proposal, but a second The PhD student must write a formal thesis proposal and defend it in an oral presentation to his or her Dissertation Advisory Committee. Normally this is done within a year of advancing to candidacy. A student who fails to defend his or her thesis proposal can attempt to defend it a second time after modifying the thesis proposal, but a second
Department of Computer and Data Sciences < Case Western Reserve University
Professor and Interim Chair. While the BS degree in Computer Science at Case Western Reserve University was approved inthe Department of Computer and Data Sciences CDS was recently established in Computer Science is the study of the theory, practice, and application of computer branicky phd thesis. Data Science is an interdisciplinary field that utilizes computer systems, computational algorithms, and statistical methods to manage, analyze, and visualize data from different domains in order to extract information and knowledge from data.
Computer Science and Data Science are at the heart of modern technology with applications in many disciplines. They both have a profound impact on our society and drive job creation.
Starting salaries in our fields are consistently ranked at 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, business and finance, healthcare and medical devices, energy, branicky phd thesis, and consulting.
CDS also offers minors in Computer Science, Computer Gaming, and Artificial Intelligence, branicky phd thesis. The CDS department is dedicated to developing high-quality graduates who will take positions of leadership as their careers advance.
We recognize that the increasing role of technology in virtually every facet of our society, life, and culture makes it vital that our students have access to progressive and cutting-edge higher education programs. The program values for all of the degree programs in the department are:. Stressing excellence in these core values helps to ensure that our graduates are valued and contributing members of our global society and that they will carry on the tradition of industrial and academic leadership established by our alumni.
Our goal is to graduate students who have fundamental technical knowledge of their profession and the requisite technical breadth and communications skills to become leaders in creating the new techniques and technologies which will advance their fields. To achieve this goal, the department offers a wide range of technical specialties consistent with the breadth of computer science and data science, including recent developments in the fields.
Because of the rapid pace of advancement in these fields, our degree programs emphasize a broad and foundational science and technology background that equips branicky phd thesis for future developments. Our branicky phd thesis include a wide range of electives and our students can also develop individualized programs that can combine computer and data sciences with other disciplines.
At Case Western, we thrive to provide outstanding educational experiences for both our undergraduate and graduate students, while performing cutting edge research in:. Erman Ayday, branicky phd thesis, PhD Georgia Institute of Technology Assistant Professor Cryptography, Network Security, Trust and Reputation Management, Big Data Analytics.
Harold S. Connamacher, PhD University of Toronto Associate Professor Branicky phd thesis satisfaction problems, graph theory, random structures, and algorithms. Mehmet Koyuturk, PhD Purdue University Professor Bioinformatics and computational biology, computational modeling and algorithm development for systems biology, integration, mining and analysis of biological data, algorithms for distributed systems, branicky phd thesis.
Michael Lewicki, PhD California Institute of Technology Professor Computational perception and scene analysis, visual representation and processing, auditory representation and analysis. Jing Li, PhD University of California, branicky phd thesis, Riverside Leonard Case Jr. Professor and Interim Chair Computational Biology and Bioinformatics, Data Mining and Machine Learning, Data Science and Analytics, Algorithms.
Vincenzo Liberatore, PhD Rutgers University Associate Professor Distributed systems, Internet computing, randomized algorithms. Orhan Ozguner, PhD Case Western Reserve University Assistant Professor Algorithms, Data Science, Data Structure, Programming.
Andy Podgurski, branicky phd thesis, PhD University of Massachusetts, Amherst Professor Software engineering methodology and tools, especially use of data mining, machine learning, and program analysis techniques in software testing, fault detection and localization, reliable engineering and software security, electronic medical records, branicky phd thesis. Michael Rabinovich, PhD University of Washington Professor Computer networks, branicky phd thesis, distributed systems, branicky phd thesis, Internet security and performance.
Soumya Ray, PhD University of Wisconsin, Madison Associate Professor Artificial intelligence, machine learning, reinforcement learning, automated planning, applications to interdisciplinary problems including medicine and bioinformatics. Yinghui Wu, PhD University of Edinburgh UK Assistant Professor Data Science. Xusheng Xiao, PhD North Carolina State University Assistant Professor Software Engineering, Computer Security.
Yanfang Fanny Ye, PhD Xiamen University Associate Professor Cybersecurity, Data Mining, Machine Learning, and Health Intelligence, branicky phd thesis. Cenk Cavusoglu, PhD University of California, Berkeley Nord Professor of Engineering Robotics, systems and control theory, and human-machine interfaces; with emphasis on medical robotics, haptics, virtual environments, surgical simulation, and bio-system modeling and simulation.
Aziz Nazha, PhD Assistant Professor SOM, CCF-Ctr of Clinical Artificial Intelligence, branicky phd thesis. Satya Sahoo, PhD Associate Professor SOM-Dept. Gultekin Ozsoyoglu, PhD University of Alberta, Canada Emeritus Professor Graph databases and data mining problems in metabolic networks, branicky phd thesis, metabolomics, branicky phd thesis systems biology, bioinformatics, web data mining.
Meral Ozsoyoglu, PhD University of Alberta, Canada Emeritus Professor Database systems, database query languages and optimization, data models, index structures, bioinformatics, medical informatics, branicky phd thesis. These programs provide students with a strong background in the fundamentals of mathematics and science. Students can use their technical and open electives to pursue concentrations in software engineering, algorithms, artificial intelligence, databases, branicky phd thesis, data mining, bioinformatics, security, computer systems, and computer networks.
In addition to an excellent technical education, all students in the department are exposed to societal issues, ethics, professionalism, and have the opportunity to develop leadership and creativity skills. The Bachelor of Science degree program in Data Science and Analytics provides our students with a broad foundation in the field and with the instruction, skills, and experience needed to understand and handle large amounts of data to derive actionable information, branicky phd thesis.
The degree program has a unique focus on real-world data and real-world applications. This major is one of the first undergraduate programs nationwide with a curriculum that includes mathematical modeling, computation, data analytics, visual analytics and project-based applications — all elements of the future emerging field of data science.
Two of STATSTATSTATand STAT 3 units each. Core courses provide our students with a strong background in foundations and analytics. Each student must supplement their competence in foundational technical areas by taking at least three additional courses, totaling at least nine credit hours from the following list.
The following list is organized in topical areas for informational purposes only; foundation courses may come from the same or from different areas.
Data science graduates are expected to be knowledgeable in a wide range of areas of applications of the data science profession. The breadth requirement is satisfied by choosing at least two branicky phd thesis totaling at least six credit hours from the following list. Two more courses from the core, foundations, and applications lists for at least six credit hours. The combination of core, foundations, and application courses with technical and open electives makes it possible to achieve a minor in fields as different as Economics and Biology.
Interested students should contact their advisors. The following is a suggested program of study. Current students should always consult branicky phd thesis advisors and their individual graduation requirement plans as tracked in SIS.
An undergraduate minor branicky phd thesis applied data science is administered in the Materials Science and Engineering Department. A complete list of DSCI courses may be found on the courses tab of the Data Sciences section of the General Bulletin.
The mission of the Bachelor of Science degree program in Computer Science and the Bachelor of Arts degree program in Branicky phd thesis Science is to graduate students who have fundamental technical knowledge of their profession and the requisite technical breadth and communications skills to become leaders in creating the new techniques branicky phd thesis technologies which will advance the field of computer science and its application to other disciplines.
As preparation for achieving the above educational objectives, the BS and BA degree programs in Computer Science are designed so that Bachelor of Science students attain:.
Core and breadth courses provide our students with the flexibility to work across many disciplines and prepare them for a variety of professions. Our curriculum is branicky phd thesis to teach fundamental skills and knowledge needed by all CS graduates while providing the greatest flexibility in selecting topics. Students are also branicky phd thesis to develop depth in at least one of the following technical areas: software engineering; algorithms and theory; computer systems, networks, and security; databases and data mining; bioinformatics; or artificial intelligence.
The Bachelor of Science degree program in Computer Science is designed to give a student a strong background in the fundamentals of mathematics and computer science. A graduate of this program should be able to use these fundamentals to analyze and evaluate software systems and the underlying abstractions upon which they are based.
A graduate should also be able to design and implement software systems which are state-of-the-art solutions to a variety of computing problems; this includes problems which are sufficiently complex to require the evaluation of design alternatives and engineering trade-offs.
In addition to these program-specific objectives, all students in the Case School of Engineering are exposed to societal issues, professionalism, and are provided opportunities to develop leadership skills. The Bachelor of Arts degree program in Computer Science is a combination of a liberal arts program and a computing major. It is a professional program in the sense that graduates can be employed as computer professionals, but it is less technical than the Bachelor of Science degree program in Computer Science.
This degree is particularly suitable for students with a wide range of interests. For example, students can major in another discipline in addition to computer science and routinely complete all of the requirements for the double major in a 4 year period, branicky phd thesis.
This is possible because over a third of the courses in the program are open electives. Furthermore, if a student is majoring in computer science and a second technical field such as mathematics or physics many of the technical electives branicky phd thesis be accepted for both majors. Another example of the utility of this program is that it routinely allows students to major in computer science and take all of the pre-med courses in a four-year period.
BS Degree. Each student is required to complete a total of 20 computer science and computer science related courses, totaling at least 63 credits. The 20 courses must include: all 6 core courses; at least 5 computer science breadth courses; and at least 4 courses in one of the listed computer science depth areas, including all starred courses in that area. The remaining courses needed to fulfill the 20 course requirement may come from the computer science breadth courses, courses of any computer science depth branicky phd thesis, and up to 6 of the 20 courses may come from the list of approved technical electives with at most two group 2 courses and none from the group 3 list.
Some courses appear in more than one list, branicky phd thesis. The same course may be used to satisfy multiple requirements of the core, computer science breadth and branicky phd thesis requirements, but courses may not be double counted for the purpose of achieving 20 separate computer science courses and 63 credits.
BA Degree. Students are required to complete a total of 13 branicky phd thesis science and computer science related courses, totaling at least 42 credits, branicky phd thesis. The 13 courses for a total of 42 credits must include all 6 core courses and at least 3 computer science breadth courses.
The remaining 4 courses may come from the computer science breadth courses, any course listed as a computer science depth course for the BS, plus at most 3 courses from either the group 1 or the group 3 list of approved technical electives with no course coming from group 2. There is no depth requirement for the BA degree.
BS students are required to complete at least 5 of the 7 following computer science breadth courses. BA students are required to complete at least 3 of 7. Students pursuing the BS degree must demonstrate a depth of competence in one of the technical areas listed below. To complete the depth requirement, students must complete at least four courses in one of the depth areas, including all starred courses. Recommended general background courses are listed following each area where applicable.
Recommended preparation: MATH Introduction to Probability. Recommended breadth and preparation: STAT Data Analysis and Linear Branicky phd thesis or PQHS Statistical Methods ISYBB A Survey of Bioinformatics: Technologies in BioinformaticsSYBB B Survey of Bioinformatics: Data Integration in BioinformaticsSYBB C Survey of Bioinformatics: Translational Bioinformatics, BIOL Genes, branicky phd thesis, Evolution and Ecology.
Recommended breadth and preparation: MATH Introduction to Probabilityand either ECSE Convex Optimization for Engineering or CSDS Advanced Algorithms. For BS students, up to 6 of the 20 computer science and computer science related courses may come from this list with up to two courses from group 2 and none from group 3.
For BA students, up to 3 of the 13 computer science and computer science related courses may come from this list with none from group 2. Chosen from: MATH Introduction to ProbabilitySTAT Basic Statistics for Engineering and Sciencebranicky phd thesis, STAT Statistics for Experimentersbranicky phd thesis, STAT Statistics for Signal ProcessingSTAT Uncertainty in Engineering and Science.
Each student must complete 5 of the 7 following courses: CSDS Computer Architecture, CSDS Computer Networks I, CSDS Intro to Operating Systems and Concurrent Programming, CSDS Introduction to Database Systems, CSDS Programming Language Concepts, branicky phd thesis, CSDS Introduction to Artificial Intelligence, and CSDS Software Engineering. CSDS Intro to Operating Systems and Concurrent Programming is a 4 unit course. Each student must complete 4 courses in one of the computer science depth areas listed above, including all starred courses.
Chosen from additional computer science breadth courses, depth courses, or the list of approved technical electives.
THESIS THE END: Step-by-Step Guide to Writing the PhD Thesis
, time: 26:52Department of Computer and Data Sciences < Case Western Reserve University
The PhD student must write a formal thesis proposal and defend it in an oral presentation to his or her Dissertation Advisory Committee. Normally this is done within a year of advancing to candidacy. A student who fails to defend his or her thesis proposal can attempt to defend it a second time after modifying the thesis proposal, but a second The PhD student must write a formal thesis proposal and defend it in an oral presentation to his or her Dissertation Advisory Committee. Normally this is done within a year of advancing to candidacy. A student who fails to defend his or her thesis proposal can attempt to defend it a second time after modifying the thesis proposal, but a second The PhD student must write a formal thesis proposal and defend it in an oral presentation to his or her Dissertation Advisory Committee. Normally this is done within a year of advancing to candidacy. A student who fails to defend his or her thesis proposal can attempt to defend it a second time after modifying the thesis proposal, but a second
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