पाठ्यक्रम परिवर्तनशीलता

पाठ्यक्रमबारे सारश

This program combines the study of these techniques with coursework in a related field that contends with these large collections of data. The mission of this program is to provide students with the theoretical foundations and practical application experiences needed to understand and utilize methods for knowledge discovery. The core of the program integrates statistics, mathematics, computer science, learning theory, logic, information theory, complexity, and artificial intelligence. Discovery informatics is a rigorous, multidisciplinary program, which will be a catalyst and enabler for discoveries that might otherwise go unrealized, for knowledge that would otherwise remain hidden. This program requires study in a cognate discipline. The need for quantitative approaches within data intensive disciplines makes them appropriate as disciplinary specific cognates. The computational techniques and theoretical reasoning developed in the required discovery informatics course work should provide much of what the students will need to enter this growing field; however, their understanding will be greatly enhanced by the cognate requirements. Cognate courses will provide students with knowledge in a separate discipline a discipline that benefit from the application of discovery informatics. The students will have an opportunity to integrate their mathematical and computational skills and the material from their cognate courses in capstone projects hosted by a team of faculty members, which necessarily includes a faculty member of the cognate department. It is designed to be inclusive and integrated, encouraging faculty and student collaborations across disciplines. The Department of Economics and Finance offers an opportunity for students in the area of discovery informatics to plan, participate in and assist in analyzing data associated with the study of economics and finance. Improved methods for interpreting the vast amount of data available concerning the macro-economy and financial markets is important to both business leaders and government policy-makers. Specific courses required to provide a content background for these students are principles of macroeconomics (ECON 201), principles of microeconomics (ECON 202), microeconomics analysis (ECON 317), macroeconomics analysis (ECON 318) and introduction to econometrics and forecasting (ECON 419). These classes will present the student with the basic problems economics addresses, the tools of economic analysis, and some of the most widely used data in economics.

कार्यक्रमका खाकाहरू

The modules are core requirements (54 credit hours) - Discovery Informatics (9 credit hours): DISC 101 Introduction to Discovery Informatics (3), DISC 210 Dataset Organization and Management (3), DISC 495 Discovery Informatics Capstone (3). Computer Science (19 credit hours): CSCI 220 Computer Programming I (3), CSCI 221 Computer Programming II (3), CSCI 222 Computer Programming I Laboratory (1) CSCI 230 Data Structures and Algorithms (3), CSCI 310 Advanced Algorithms (3), CSCI 334 Data Mining (3), CSCI 470 Principles of Artificial Intelligence (3). Mathematics (26 credit hours): MATH 120 Introductory Calculus (4), MATH 203 Linear Algebra (3), MATH 207 Discrete Structures I (3), MATH 220 Calculus II (4), MATH 250 Statistical Methods I (3), MATH 350 Statistical Methods II (3), MATH 440 Statistical Learning I (3), MATH 441 Statistical Learning II (3). Economics (15 credit hours): ECON 201 Principles of Macroeconomics (3), ECON 202 Principles of Microeconomics (3), ECON 317 Microeconomic Analysis (3), ECON 318 Macroeconomic Analysis (3), ECON 419 Introduction to Econometrics and Forecasting (3).

अन्तर्राष्ट्रिय विद्यार्थीहरू प्रवेशको लागि आवश्यकता

Students should have completed a challenging college-preparatory curriculum. The high school course curriculums are English - four units, including one unit of English literature and one unit of American literature, two units should have strong grammar and composition components; Mathematics - four units, includes algebra I and II, and geometry. Fourth unit should be higher-level math selected from among algebra III/trigonometry, pre-calculus, calculus, statistics, discrete mathematics, or a capstone math course; Laboratory Science - three units (four recommended), two of the units must be in biology, chemistry or physics; Foreign Language - three units, two units must be from the same language; Social Sciences - three units, includes one unit of U.S. history. Government and economics are recommended; Physical Education or ROTC - one unit; Fine Arts - one unit, appreciation of, history of, or performance in one of the fine arts; and electives - one unit, a college preparatory course in computer science (programming, not keyboarding) is recommended. Other acceptable electives include college preparatory courses in English, fine arts, foreign languages, humanities, laboratory science, mathematics, and social sciences. The minimum acceptable SAT scores are 1070-1230 for in-state students (critical reading and math only), 1140-1280 for out-of-state students (critical reading and math only) and ACT scores of 23-27.

योग्यता

ब्याचलर्स डिग्रीज्

प्रदान गर्ने निकाय

College Of Charleston

विभागको नाम

School of Sciences and Mathematics, Computer Science Department