CSE 5235
Transcript Abbreviation:
Enterprise Archit
Course Description:
Modeling/analysis of complex enterprise architectures; enterprise patterns (workflow, broker, warehousing); methods for service performance (lean, ontologies, data mining, etc.); emerging topics in semantic cyber-infrastructures, social computation.
Course Levels:
Undergraduate (1000-5000 level)
Graduate
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 5911 (758 and 762), 5912 (786), 5913 (682), 5914 (731), 5915 (772), or 778.
Electronically Enforced:
No
Exclusions
(N/A)
Course Goals / Objectives:
Master enterprise architecture modeling concepts such as external context, service goals, workflows, roles, service and operating level performance, complex components, service provisioning, metrics, and performance measurement
Be competent with conceptual enterprise modeling, goals and trade-offs, and gap analysis to identify service changes and needed performance improvement
Be competent with developing specifications for service improvement leading to design
Be competent with related governance and technology standards (Federal Enterprise Architectures, ISO20000, W3C, and OMG
Be familiar with the applications of broker, data warehousing, and workflow architecture patterns and their performance improvement through industry cases
Be familiar with tools and methods for service improvement like data mining tools, social network services, ontologies/OWL/RDF
Be familiar with the industry practice of applying architecture knowledge for developing strategic options using IT solutions
Be familiar with techniques to develop a business case for the stakeholders by articulating priorities and their ability to meet service goals
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Syllabus and course administration, process of research, identifying references, and ethics. | 1.0 | 0.0 | 0.0 | 0 |
| Introduction to vocabulary – HCI, business processes, supply chains, enterprise architectures and systems, and symbiotic computing; declarative modeling and analysis methods using case studies. | 4.0 | 0.0 | 0.0 | 0 |
| Use of performance linkages between services in-the-large and in-the-small, for service level and policy formulation, and evaluation; service life-cycle. | 4.0 | 0.0 | 0.0 | 0 |
| Patterns and principles for co-engineering Adaptive Complex Systems to achieve behaviors like Lean, chargeback and capacity alignment, accountability, competitiveness, and innovation. | 4.0 | 0.0 | 0.0 | 0 |
| Role of emerging technologies (sensors, mobile, service-oriented architectures) in achieving performance objectives; enterprise architecture patterns (warehousing, mining of operational data, symbiotic computing, social computing, standards). | 4.0 | 0.0 | 0.0 | 0 |
| Portfolio development and program management; project specific presentations of research and best practices; guest lecturers from industry representing IT operations management and middleware technologies. | 4.0 | 0.0 | 0.0 | 0 |
| Edge-to-enterprise case studies covering trends such as social networking services and their impact on enterprise architectures. | 4.0 | 0.0 | 0.0 | 0 |
| Team project methodology, team meetings, and project-relevant research presentations. | 15.0 | 0.0 | 0.0 | 0 |
| Total | 40 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Class participation | 20% |
| Midterm research report | 30% |
| Poster | 10% |
| Research report | 30% |
| Final presentation | 10% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Various on-line and on-reserve readings from the literature |
ABET-CAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Significant contribution (7+ hours) | Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. |
| 2 | Significant contribution (7+ hours) | Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. |
| 3 | Significant contribution (7+ hours) | Communicate effectively in a variety of professional contexts. |
| 4 | Substantial contribution (3-6 hours) | Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles |
| 5 | Significant contribution (7+ hours) | Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline |
| 6 | Substantial contribution (3-6 hours) | Apply computer science theory and software development fundamentals to produce computing-based solutions. |
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Significant contribution (7+ hours) | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| 2 | Significant contribution (7+ hours) | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
| 3 | Significant contribution (7+ hours) | an ability to communicate effectively with a range of audiences - pre-2019 EAC SLO (g) |
| 4 | Substantial contribution (3-6 hours) | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
| 5 | Significant contribution (7+ hours) | an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives |
| 6 | Some contribution (1-2 hours) | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
| 7 | Some contribution (1-2 hours) | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)