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ITM 397: Technology Innovation and Business Value: Capstone
3.00 Credits
Golden Gate University-San Francisco
Provides an opportunity for you to complete a project in which you will demonstrate the strategic, technical and management skills you have developed over the course of your MSITM degree program as you have interacted with the current and evolving technologies that lift the contemporary enterprise. This course will also bring together all you have learned about ROI analyses, innovation impact analysis, prototype plans, how to evaluate innovation opportunities to solve business problems globally, managing programs, accuracy of financial analysis/recommendations, business plans and transparency of business decisions. Must be taken during the last nine units of your degree program.
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ITM 397 - Technology Innovation and Business Value: Capstone
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ITM 398: Internship: Information Technology Management
3.00 Credits
Golden Gate University-San Francisco
Offers you the opportunity to participate in graduate-level work experience in the information technology field. You are responsible for your own placement in an internship approved by the department chair. A written internship proposal is required before consideration for this course. A written report is required upon completion of the internship. Prerequisite: Completion of five advanced graduate seminars or consent of the department.
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ITM 398 - Internship: Information Technology Management
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ITM 399: Directed Study
3.00 Credits
Golden Gate University-San Francisco
Provides an opportunity for the advanced student with a specific project in mind to do reading in a focused area and to prepare a substantial paper under the direction of a faculty member. Only one directed study course may be taken for credit toward a master's degree. Prerequisite: consent of the department.
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ITM 399 - Directed Study
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LIT 150: Business in Literature
3.00 Credits
Golden Gate University-San Francisco
Examines business and social values in American life as reflected in stories, novels, and plays of the past and present. Prerequisite: ENGL 1A.
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LIT 150 - Business in Literature
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LIT 160: Business in Movies
3.00 Credits
Golden Gate University-San Francisco
Looks at business in American life as reflected in movies, from slapstick comedy to Wall Street drama.
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LIT 160 - Business in Movies
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LIT 198A: ZZ Selected Topics in Literature
1.00 - 3.00 Credits
Golden Gate University-San Francisco
Examine specific topics, authors or genres in English, American or world literature. You may take this course more than once, provided the topic is not repeated. Prerequisite: consent of the department.
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LIT 198A - ZZ Selected Topics in Literature
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LIT 199: Directed Study in Literature
1.00 - 3.00 Credits
Golden Gate University-San Francisco
Provides individual study of selected topics under supervision of a faculty member. You are limited to one directed study course per trimester. Prerequisites: consent of the department.
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LIT 199 - Directed Study in Literature
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MATH 10: Introductory Algebra
3.00 Credits
Golden Gate University-San Francisco
Introduces the concepts of elementary algebra. Topics include fundamental operations, the real number system, linear equations and inequalities, linear systems, polynomials, quadratic equations and graphs. Intended for students with little algebraic background. See Math Placement notation above.
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MATH 10 - Introductory Algebra
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MATH 100: Calculus I
3.00 Credits
Golden Gate University-San Francisco
Introduces the concepts of differential and integral calculus including the derivative and the definite integral, and differentiation of algebraic, exponential and logarithmic functions. You will apply concepts to business and social sciences. Prerequisite: MATH 30 (or equivalent).
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MATH 100 - Calculus I
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MATH 104: Applied Regression Analysis
3.00 Credits
Golden Gate University-San Francisco
Applies multiple regression and correlation analysis to forecasting (in particular, managerial interpretation of the regression equation) using a case study approach. Other topics include: time-series analysis and regression of time-series data. Prerequisite: MATH 40.
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MATH 104 - Applied Regression Analysis
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