|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
1.00 Credits
This course prepares all students in business and economics to demonstrate current competence in desktop software commonly used in the business environment. The course covers computer competencies students will use in their business functional and cross-functional core courses, using more complex features of desktop software. It is followed by a hands-on exam that tests these competencies. Credit/No credit.
-
1.00 Credits
This course introduces the student to the role played by computer technology in business strategy and problem resolution. It also introduces information technologies used in information systems, including: software development, hardware, operating systems, network management, project planning, and career paths. Students will develop their academic MIS program plan. Lecture series by MIS Faculty.
-
3.00 Credits
Overview of the role and use of information systems to support individual, group, and business decision-making. Includes coverage of technology's role in supporting the business decision-making process. It will prepare students to use information technologies effectively to improve productivity and promote competitive position in the marketplace.
-
3.00 Credits
Business analytics refer to the ways in which organizations use data to gain insights and make better decisions, and has become a critical capability for organizations of all types and sizes. It is applied in various business functions including marketing, finance, human resources, operation and strategic planning. This course covers basic analytic methods used by organizations. Students will learn how to explore, manipulate and present data. They will also learn how to use data to develop insights and predictive capabilities by using predictive analytics techniques.
Prerequisite:
MATH 1040 and MATH 1160 and QUAN 2600
-
3.00 Credits
This course introduces Python within the context of business analytics. Students will learn Python programming basics and be exposed to the business analytics workflow, starting with interacting with SQL databases to query and retrieve data, through data wrangling, reshaping, summarizing, analyzing and ultimately reporting their results.
Prerequisite:
MATH 1040 and QUAN 2600
-
3.00 Credits
This course introduces the student to the fundamentals of software construction using a contemporary programming language. This includes the IDE (Integrated Development Environment), syntaxes of the language, basic programming constructs, data representation, object concepts, programming flow control and problem solving logic. Students will design, program and debug several business application projects.
Prerequisite:
A02 26 and ALEKS 65 and APM1 3 and APM2 3 and D01 70 and MATH 1050 and MATH 1080 and MATH 1090
-
3.00 Credits
This course provides students with a thorough grounding in computer hardware and operating system software, peripheral devices and contemporary information system architecture, including its structure, theory, and applications.
-
3.00 Credits
This course introduces the basics of specifying abstract data types, control structures and modularization, and using them to design programs. Commonly used data structures and algorithms are studied. Emphasis is made on choosing data structures and algorithms appropriate for solving given business problems.
Prerequisite:
IST 2110 and MATH 1050 and MIS 2110
-
1.00 - 6.00 Credits
Consult the semester class schedule for the current offering under this number. The specific title and credit authorized will appear on the student transcript. Refer to Experimental Courses.
-
1.00 Credits
Open to all associate's degree-seeking students who have been selected to serve an internship in the information technology field or who have identified a special MIS project with their current employer, subject to approval by the Management Information Systems Department.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|