Minor in Applied Computing

South Carolina is on track to need over 60,000 IT jobs in the next decade. Information technology has become a primary driver of nearly all industries. Applied Computing is a brand new multidisciplinary minor offered to all Benedict College students. The minor will allow students from a variety of majors to master high demand computer skills that complement their fields of study.

Program Level Student Learning Outcomes:

SLO A:  Students will be able to apply fundamental computer skills to solve contemporary technology based research and business challenges.
SLO B:  Students will be able to appreciate the value of an advanced information technology education that is applicable to various disciplines.

Fundamental Courses:

All tracks of the minor begin with the following two fundamental courses (6 credit hours):
CSc 131 Introduction to Computers credit 3 hrs.  (Spring / Fall)
Provides a general overview of the history, impact, and general use of computers.  Basic computer concepts and data management are explored with emphasis on the applications of computers in the different disciplines.
Alternative or substitute course: CSC 132 / BA 130

CSc 239 Introduction to Multimedia Computing credit 3 hrs.  (Spring / Fall)
This course explores basic concepts of multimedia applications including text, graphics, sound, animation and the integration of these components. Topics include web page design, testing, uploading and maintaining the applications. Programming languages include HTML(5), CSS and Java Script. 

Multidisciplinary Tracks:

Three tracks are offered from School of STEM, School of Business, and School of HASS. All students will have the freedom to choose one of the following tracks (12 credit hours courses are required for each track):

Information Technology Track (School of STEM)

It's designed to apply practical information technology of scientific data processing and analysis in different STEM areas such as Biology, Chemistry, Physics, etc.

  • Students will be able to demonstrate the ability to apply the fundamental mathematical data analysis methods used in information technology. (SLO A(1))
  • Students will be able to demonstrate the ability to use the related information technology in practical scientific data analysis and processing. (SLO A(2))
  • Students will demonstrate the skills to process and analyze scientific data in their disciplines. (SLO B(1))

Students will be able to choose two of the following alternative courses (6 credit hrs) to strengthen the scientific data analysis skills upon their needs:

  • Math 336 Discrete Mathematics credit 3 hrs.
  • Math 435 Statistical Methods credit 3 hrs.
  • Math 431 Numerical Analysis I credit 3 hrs.
  • Math 432 Numerical Analysis II credit 3 hrs.

Students will be able to choose two of the following alternative courses (6 credit hrs) to apply the information technology to facilitate scientific data analysis:

  • CSC 338 Introduction to Artificial Intelligence   credit 3 hrs.
  • CSC 434 Database Management credit 3 hrs.
  • CSC 438 Simulation and Modeling  credit 3 hrs.
  • CSC 439 Special Topics in Computer Science   credit 3 hrs.

Management Information Track (School of Business)

  • Students will be able to demonstrate the ability to navigate contemporary accounting information systems. (SLO A(1))
  • Students will be able to demonstrate the ability to navigate contemporary business information systems including, but not limited to, data management and decision support systems. (SLO A(2))
  • Students will be able to demonstrate the ability to use the internet to enhance the marketing strategies of organizations. (SLO A(3))
  • Students will appreciate the value of a quality technology based education and the profession. (SLO B(1))

Required Courses:

  • Acc 432 Accounting Information Systems credit 3 hrs. (Not for Accounting Major)
  • Mgt 332 Business Information Systems credit 3 hrs.
  • Mkt 339 Internet Marketing credit 3 hrs.

Other course candidates are: (students may select one 3 or 6 credit hrs course from this group)

  • CSc 236 Business Programming
  • CSc 335 File Organization and Processing
  • CSc 434 Data Base Management

Mass Communication Track (School of HASS)

  • Students will be able to use the research toolbox focused on methods of data structuring, manipulation and reporting resulting in effective data journalism. (SLO A(1))
  • Students will navigate and use data visualization methods and the emerging tools that support data visualization in media. (SLO A(2))
  • Students will acquire an understanding of organizational information systems and data-driven decision support. (SLO B(1))

Required Courses:

  • MASS 234 Reporting for New Media credit 3 hrs.                                               
  • MASS 431 Digital Imaging Technology credit 3 hrs.
  • MASS 436 Research Methods in Mass Communication (special section) credit 3 hrs.

Students will be able to choose one of the following three alternative courses, available either in the Spring or the Fall semesters:

  • CSc 236 Business Programming  credit 3 hrs.
  • Mgt 332 Business Information Systems  credit 3 hrs.
  • Mkt 339 Internet Marketing  credit 3 hrs.

If you have more questions, please contact Dr. Hong Jiang at jiangh@benedict.edu or 803-705-4860.

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