- Instructor: Ahmed Eleish - eleisa2 at rpi dot edu
- Class Meeting times: Wednesday 11:00 AM - 1:50 PM EST
- Class Location: West Hall Auditorium
- Instructor Office Hours: Wednesday from 2:00 PM - 4:00 PM or by appointment/email
- Instructor Office Location: Amos Eaton 134
- TA: Iris
- TA office hours : TBA
- TA Office Hours Location: TBA
Sections: CSCI 4350/6350, ITWS 4350/6350, ERTH 4350/6350
Syllabus/ Calendar
Refer to Reading/ Assignment/ Reference list for each week (see below).
- Week 1 (Sep. 03): History of Data and Information, Data, Information, Knowledge Concepts and State-of-the-Art
- Week 2 (Sept. 10): Data Management, Data and information acquisition (curation, preservation), Provenance
- Week 3 (Sept 17): Data formats, metadata standards, conventions, reading and writing data and information
- Week 4 (Sept. 24): Module 2 & 3 Review, Knowledge Graphs, Data Analysis I
- Week 5 (Oct. 01): Data Analysis II
- Week 6 (Oct. 08): Class Presentations: present your data, Part of Assignment 2
- Week 7 (Oct. 15): Class Presentations: present your data, Part of Assignment 2
- Week 8 (Oct. 22): Data Mining I
- Week 9 (Oct. 29): Data Mining II - Project teams and introducing project instructions.
- Week 10 (Nov. 05): Data Quality, Uncertainty and Bias, Final Project Preparation – Start project meetings with team
- Week 11 (Nov. 12): Scientific Workflows and Data Stewardship
- Week 12 (Nov. 19): Webs of Data
- Week 13 (Nov. 26): No classes (Thanksgiving Break)
- Week 14 (Dec. 03): Guest Lecture
- Week 15 (Dec. 10): Final project presentations, written reports due Dec 12
Reading/ Assignment/ Reference List
• Assignment 1 Data Collection Exercise (Proposals) (available 09/10 – due 09/24) – 10% (written)
• Assignment 2 Data Collection Exercise (available 09/24 – due 10/08) – 15% (written) / 5% (presentation)
• Assignment 3 Data Archival (available 10/15 – due 10/29) – 20% (written)
• Assignment 4 Data Analysis Project (available 10/29 – due 12/12) – 25% (written) / 5% presentation
• Assignment 5 Data Workflows (available 11/19 – due 12/12) – 10% (written)
Reading Assignments:
Class 1 Reading Assignment:
- Changing Science: Chris Anderson: [1]
- Rise of the Data Scientist [2]
- Where to draw the line? [3]
- What is Data Science (I) [4]
- Data Science vs. Data Analytics [5]
- What Is a Data Scientist? [6]
- Big Data [7]
- A Very Short History of Data Science [8]
- 7 Phases of Data-Life-Cycle [9]
Course Goals / Objectives
To instruct future scientists how to sustainably generate/ collect and use data for their research as well as for others: data science. To instruct future technologists how to understand and support essential data and information needs of a wide variety of producers and consumers For both to know tools, and requirements to properly handle data and information Will learn and be evaluated on the full life-cycle of data and relevant methods, technologies and best practices.
Through class lectures, practical sessions, written and oral presentation assignments and projects, students should: Develop and demonstrate skill in Data Collection and Management Develop Data Models and Generate Metadata Demonstrate Knowledge of Data Standards Demonstrate Skill in Data Science Tool Use and Evaluation Demonstration the application the Data Life-Cycle principles Become proficient in Data and Information Product Generation.
Academic Integrity:
Student-teacher relationships are built on trust. For example, students must trust that teachers have made appropriate decisions about the structure and content of the courses they teach, and teachers must trust that the assignments that students turn in are their own. Acts that violate this trust undermine the educational process. The Rensselaer Handbook of Student Rights and Responsibilities and The Graduate Student Supplement define various forms of Academic Dishonesty and you should make yourself familiar with these. In this class, all assignments that are turned in for a grade must represent the student’s own work. In cases where help was received, or teamwork was allowed, a notation on the assignment should indicate your collaboration. Submission of any assignment that is in violation of this policy will result in a penalty. If found in violation of the academic dishonesty policy, students may be subject to two types of penalties. The instructor administers an academic (grade) penalty, and the student may also enter the Institute judicial process and be subject to such additional sanctions as: warning, probation, suspension, expulsion, and alternative actions as defined in the current Handbook of Student Rights and Responsibilities. of an academic grade penalty or. If you have any questions concerning this policy before submitting an assignment, please ask for clarification. First violation results in zero grade for the relevant portion of the work. Second offense results in a failing grade.
Submission of any assignment that is in violation of this policy will result in a penalty for the first violation results in zero grade for the relevant portion of the work. Second offense results in a failing grade.
If you have any question concerning this policy before submitting an assignment, please ask for clarification.
ACADEMIC ACCOMMODATIONS:
Rensselaer Polytechnic Institute strives to make all learning experiences as accessible as possible. If you anticipate or experience academic barriers based on a disability, please let me know immediately so that we can discuss your options.
To establish reasonable accommodations, please register with The Office of Disability Services for Students (mailto:dss@rpi.edu; 518-276-8197; 4226 Academy Hall). After registration, make arrangements with me as soon as possible to discuss your accommodations so that they may be implemented in a timely fashion.”
Rensselaer Polytechnic Institute On- and Off-Campus Support Resources: Fall 2024
Remember, seeking help is a strength, not a weakness
ON-CAMPUS HEALTH & WELLNESS SUPPORT
Student Health Center*
Mon-Fri, 8:30 am – 5:00 pm EST
The mission of the Student Health Center (SHC) is to keep students healthy so that they may achieve their academic, personal, and athletic goals. The SHC provides confidential, accessible, cost-effective, current evidence-based treatment for acute and chronic physical health problems. At this time, appointments are being offered virtually (phone and video). Call 518-276-6287 to schedule an appointment, or schedule one through your Student Health portal. There are no walk-in appointments available at the Student Health Center during this time.
*information subject to change based on pandemic conditions
Counseling Center*
Mon-Fri, 8:30 am – 5:00 pm EST (some weekday evening hours available by appointment)
The goal of the Counseling Center is to help students maximize their sense of well-being as well as their academic, personal, and social growth. Appointments are free and confidential, and in-person at the Counseling Center, 4th Floor of Academy Hall. Some WebEx and phone appointments will be offered as needed. Please contact the Counseling Center for this service. Appointments can be made by calling 518-276-6479 or email: counseling@rpi.edu Counseling Center staff are available in case of a crisis on evenings and weekends (call Public Safety at 518-276-6611 and ask to speak with the on-call counselor).
*information subject to change based on pandemic conditions
Office of Health Promotion
Health promotion initiatives at Rensselaer are evidence-based and comprehensive efforts to improve health knowledge, behaviors, and skills of Rensselaer students. Health Educators provide campus programming on a variety of health topics, and are available for one-on-one consultations around issues including, but not limited to: sleep hygiene, mental health, sexual health, alcohol and other drugs, LGBTQIA+ topics, sexual assault prevention, and more. All appointments are free and confidential and take place via WebEx. To schedule an appointment, email: healthed@rpi.edu Follow us on social media for daily health tips and event information! Instagram: rpi.studenthealth |Twitter: @RPIhealth |
Facebook: RPI Student Health Services | Discord: https://discord.gg/8DZJJ38zWj
Disability Services for Students
The Office of Disability Services for Students (DSS) assists Rensselaer students with disabilities in gaining equal access to academic programs, extracurricular activities, and physical facilities on campus. DSS is the designated office at Rensselaer that obtains and files disability-related documentation, assesses for eligibility of services, and determines reasonable accommodations in consultation with students. Call 518-276-8197 or email dss@rpi.edu for more information.
Course: Data Science
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