IS 360 Systems for Cloud Computing and Big Data
Summary
This course surveys the basic system characteristics of cloud-based business applications and large-scale, non-traditional data management technologies such as Hadoop and NoSQL. Key concepts, benefits and challenges, domains of managerial applications are discussed. Students understand firsthand the features of cloud and big data technologies through lab sessions. Students will work within a project team following the principles of project management to analyze the needs of a firm, to propose the functionality of a cloud-based data management application, and to present a detailed implementation plan for the system with its cost-benefit analysis.
Texts
Reading material will be provided as appropriate.
Grading
Homework/Lab 70%, Exam/Project 30%. Grading Scale: A : 93-100 A-: 90- 92 B+: 87- 89 B : 83- 86 B-: 80- 82 C+: 77- 79 C : 73- 76 C-: 70- 72 D : 60- 69 F : 0- 59
Prerequisites
IT240 or equivalent
Cloud Computing Overview
IT as a Service, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Delivery Models (Private, Public, etc.)
Application development using Microsoft Windows Azure
Virtual Server in the Cloud
Public Cloud - Amazon Web Services (AWS)
Midterm
Big Data Overview
Hadoop Overview
MapReduce, HDFS
Pig, Hive
This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.
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content to meet the learning goals of the course and the academic needs of the students. They are a requirement of the course and are key to continue to provide you with the highest quality of teaching. The
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Students complete the evaluation online in CampusConnect.
This course will be subject to the university's academic integrity policy. More information can be found at http://academicintegrity.depaul.edu/ If you
have any questions be sure to consult with your professor.
All students are expected to abide by the University's Academic Integrity Policy which prohibits cheating and other misconduct in student coursework. Publicly sharing or posting online any prior or current materials from this course (including exam questions or answers), is considered to be providing unauthorized assistance prohibited by the policy. Both students who share/post and students who access or use such materials are considered to be cheating under the Policy and will be subject to sanctions for violations of Academic Integrity.
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To ensure that you receive the most appropriate accommodation based on your needs, contact the instructor as early as possible in the quarter (preferably within the first week of class), and make sure that
you have contacted the Center for Students with Disabilities (CSD) at:
Lewis Center 1420, 25 East Jackson Blvd.
Phone number: (312)362-8002
Fax: (312)362-6544
TTY: (773)325.7296