This Sample Program Pathway is designed to provide an example of course selections in a term by term sequence. Please see an Academic Advisor for a plan specific to your academic needs.
Description: Introduction to computer networking. Topics include network standards and the Open Source Interconnection (OSI) model, topologies and Ethernet standards, network hardware, remote connectivity, wireless networking, in-depth TCP/IP, network security, network troubleshooting and network management.
Description: Introduction to problem-solving techniques used in programming. Students learn to use tools such as flowcharts and pseudocode to plan solutions. Using the C++ programming language, students will design, code, and test programs using sequence, selection, iteration, functions, and arrays.
Prerequisites: MAT 0200 or MAT 1120
Description: An introductory course in data science for students interested in information technology, computer science, and related fields. Topics include curation of data; enhanced data visualization; statistical models, estimation, and prediction; and applications of data science.
Prerequisites: MAT 0300 and Other (with a grade of "C" or better)
Description: Use word processing, spreadsheet, database and presentation software applications to create reports, spreadsheets, databases and presentations for business and other applications.
Term hours subtotal:
14
Description: Introduction to database management systems. Discussion of database environments, design, planning, implementation and administration in a relational model environment. Students will design and develop a simple database and implement a portion of this application including forms, queries and reports. Emphasis on database design techniques, normalization and the SQL database language.
Prerequisites: MAT 0200 or MAT 1120
Description: In this course, students will learn how to identify data sources and evaluate whether data is credible and relevant. The course will introduce techniques to cleanse, analyze, and manage data. Visualization tools are covered in the course to assist in identifying and communicating data patterns and trends. Presentation of data findings and communicating meaning through storytelling is an important element of this course. In addition, students will gain an understanding on the impact of data in our society. This course is data literacy for all.
Description: In English Composition I students learn reflective, analytical and argumentative writing strategies, incorporating sources and personal experience. Students will negotiate between public and private rhetorical situations and purposes to achieve academic literacy. They will write multiple drafts using a recursive writing process as they work toward fluency in style and mechanics. Note: Students who have not successfully completed the pre-requisites listed can register for ENG 1101 together with the co-requisite course ENG 0101 - English Composition I Booster.
Prerequisites: DEV 0035 or Other (Placement Test Score)
Description: Statistical techniques and methodology. Graphical and tabular presentation of data, probability, parameters, statistical distributions, sampling, confidence intervals, tests of hypotheses, regression, and correlation. Three classroom, two lab hours per week. Traditional testing (proctored or in Testing Center) is used in all online sections.
Prerequisites: MAT 0300 and Other (with a grade of C or better or satisfactory score on math placement test)
Term hours subtotal:
13
Description: Introduction to the systems development life cycle and the four-phase model (planning, analysis, design and implementation). Emphasis on requirements gathering, methodology, modeling and skills related to specifications, design and documentation. Discussion of business processes, law, legal issues and ethics for IT professionals.
Description: Students will learn techniques to properly manage large and multi-sheet spreadsheets, use spreadsheets to arrange and manage data, develop advanced spreadsheet formulas and functions, perform "What-If" analysis using spreadsheet tools and design and create end-user spreadsheet applications.
Prerequisites: BIS 1120 or BIS 1221
Description: This course examines the role of technology in the modern society. It explores the opportunities and dangers faced by humankind in the evolution of new technologies. It inquires into such questions as whether the human quest for mastery of nature has made us masters or slaves of the machine.
Notes: Any Arts and Humanities elective from the approved Ohio Transfer 36 List. View electives at: www.http://sinclair.edu/ot36
Term hours subtotal:
9
Description: This course will introduce students to the field of data preparation and visualization including design and hands-on experience with Tableau. Students will learn how to collect, transform, curate, and analyze datasets. The course will introduce students to design and build principles for telling stories for effective communications to facilitate data-driven decision-making, provide insights, and help speed up organizations that are data rich and information poor.
Notes: Fall Only. If course is not offered this semester contact the department for an Independent Study
Prerequisites: MAT 0200 or MAT 1120
Description: This course introduces students to analyzing data using Python. The basics of Python will be taught. Students will learn how to obtain, cleanse and prepare data for analysis. Data analytic and statistical tools will be used to visualize data, predict outcomes and categorize data.
Prerequisites: MAT 0200
Description: Statistical inferences, including estimation, confidence intervals, and tests of hypotheses for means, standard deviations and proportions; analysis of variance; regression analysis; chi-square; business applications. Students will develop a basic competency using a computer spreadsheet to perform statistical calculations. Two classroom, two lab hours per week. Traditional testing (proctored or in Testing Center) is used in all online sections.
Prerequisites: MAT 2170 and Other (with a grade of C or better or satisfactory score on math placement test)
Description: Basic economic principles with macro sequence. Interrelationship of households, business and government with an examination of Keynesian theory, fiscal policy and monetary policy. Traditional testing (proctored or in Testing Center) is used in all online sections.
Prerequisites: MAT 0050 or MAT 1120
Term hours subtotal:
12
Description: Introduction to database management system in a client/server environment. The course covers Structured Query Language (SQL) and development and administrative tools. Students are taught to create and maintain database objects and to store, retrieve and manipulate data, and create blocks of application code that can be shared by multiple forms, reports, and data management applications.
Prerequisites: CIS 2165
Description: An introduction to business intelligence, data analysis, data warehousing, data mining theory and tools, and how to structure the data and prepare reports in a way that is meaningful to business users. Emphasis is placed upon understanding business intelligence techniques to construct and use business intelligence solutions for decision support.
Notes: Spring Only. If course is not offered this semester contact the department for an Independent Study
Prerequisites: MAT 1450 or MAT 2170 and CIS 2165
Description: Survey of financial accounting for non-accounting majors. Accounting concepts, financial statements, internal control, cash, and payroll.
Notes: Program elective. Choose ACC 1100 or ACC 1210
Description: Students will learn how to obtain, cleanse, and prepare data, use supervised models to predict and categorize data, and present their findings.
Prerequisites: CIS 2266
Term hours subtotal:
12
Description: Focusing on development of effective small group decision-making and leadership skills, stressing better methods of expressing oneself and understanding others through learning group communication, theory and participating in small group decision-making experiences.
Notes: Program elective. Choose: COM 2206, COM 2211, or COM 2225
Description: Students earn academic credit toward their graduation requirement by working in a professional information technology environment. Students must work at 5 - 10 hours per week per credit hour for one semester and be supervised/mentored by a professional in the field. The BPS internship coordinator can help guide students in their search, but students are ultimately responsible for obtaining a qualifying position. Students already working in the field may apply to use that experience to meet the internship requirement if they can prove that new learning will take place
Notes: Internships must be approved by the Work Based Learning Office. You can find their contact information here: https://www.sinclair.edu/services/graduation-career/work-based-learning/.
Prerequisites: CIS 1107 or CIS 1411 or CIS 2510 or CIS 1202 or CIS 2212 and Approval of Department
Term hours subtotal:
6