Table of Contents
Course Description
Fundamental course in the basic concepts and principles of the Data Science domain including: definition, framework, techniques, issues and business uses. Topics include data collection, processing and management, exploratory data analysis, data visualization and presentation and ethical issues. Through case studies as well as individual and group project/assignments students use data science techniques and tools to solve business problems and improve business decision making.
Course Objectives
Upon successful completion of this course, the students acquire the following knowledge and skills:
- Define and analyze the issues and challenges related to the data science domain including issues related to machine learning, data mining and data visualization.
- Identify, analyze and use data science strategies and tools to solve business problems and improve business decision making.
- Identify and examine ethical issues related to the data science domain, particularly issues related to privacy, data sharing and algorithmic decision-making.
Prerequisites
The successfully completion of the following courses with a grade of C or higher: CST1201, CST1204 and MAT1375.
Materials for Class
The instructor will identify several information resources during the semester including online sources, online journal articles, TED Talks, YouTube Instructional videos etc.
Contact Information
Email: emilonas@citytech.cuny.edu, Office:Namm 1000
Class Grading Breakdown
| Number of Assignments | Type of Assignment | Percentage of the Grade |
| 12 | Discussions | 10% |
| 12 | Homework | 30% |
| 3 | Projects | 60% |
| TOTAL | 100% |
| Letter Grade | A | A- | B+ | B | B- | C+ | C | D | F |
| Numerical Grade | 93-100 | 90-92.9 | 87-89.9 | 83-86.9 | 80-82.9 | 77-79.9 | 70-76.9 | 60-69.9 | <=59.9 |
Late Homework/Assignments
All late homework and/or project assignments will be graded and 20 points will be automatically deducted for lateness. For example, a late assignment can be graded as 80 however, 20 points will be deducted for lateness making the final grade 60. Please submit all you work on time to avoid penalties.
Plagiarism
Please review City Tech’s Academic Integrity Policy Manual and in the City Tech Catalog which outlines the college’s Academic Integrity Policy. All work for this class will be processed through the SafeAssign within Blackboard. This feature detects plagiarism. If any work is tagged as plagiarized, the work will receive a zero grade and will be turned over to the Chair of the CST Department for further academic disciplinary action.
City Tech’s Academic Integrity
Students and all others who work with information, ideas, texts, images, music, inventions, and other intellectual property owe their audience and sources accuracy and honesty in using, crediting, and citing sources. As a community of intellectual and professional workers, the College recognizes its responsibility for providing instruction in information literacy and academic integrity, offering models of good practice, and responding vigilantly and appropriately to infractions of academic integrity. Accordingly, academic dishonesty is prohibited in The City University of New York and at New York City College of Technology and is punishable by penalties, including failing grades, suspension, and expulsion.
Diversity Statement
The Computer Systems Technology Department complies with the college wide nondiscrimination policy and seeks to foster a safe and inclusive learning environment that celebrates diversity in its many forms and enhances our students’ ability to be informed, global citizens. Through our example, we demonstrate an appreciation of the rich diversity of world cultures and the unique forms of expression that make us human.
Disability/Medical Accommodations Statement
City Tech is committed to supporting the educational goals of enrolled students with disabilities in the areas of enrollment, academic advisement, tutoring, assistive technologies and testing accommodations. If you have or think you may have a disability, you may be eligible for reasonable accommodations or academic adjustments as provided under applicable federal, state and city laws. You may also request services for temporary conditions or medical issues under certain circumstances.
If you have questions about your eligibility or would like to seek accommodation services or academic adjustments, please contact the Center for Student Accessibility at 300 Jay Street room L-237, (718) 260-5143 or http://www.citytech.cuny.edu/accessibility/
Students who miss a scheduled presentation or exam due to illness or medically-related emergencies will be referred to the Center for Students Accessibility. The CSA will review any documentation requested and give the student a letter to share with the relevant instructor if accommodations need to be made.
