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Page 1 of 11 AY1617 – July 15, 2016 /mlsalenga

HOLY ANGEL UNIVERSITY

COLLEGE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY

CURRENT AND EMERGING TRENDS IN COMPUTER SCIENCE COURSE SYLLABUS

Course Code : 6CSTRENDS Prerequisite : None

Course Credit : 3 Units (3 hours LEC) Year Level: 3^rd year/4^th year Degree Program : Bachelor of Science in Computer Science (BSCS)

Course Description :

The course deals with the latest trends and issues that concern the field of Computer Science. Different tools and technologies being used for algorithm and process improvement will be included.

At the end of the course, students will be able to:

Course Outcomes Graduate Outcomes aligned to

CO1 Conceptualize and present the concepts and show challenges of the computational theories evolving

Comprehend computer science and the ties it has with development and formulation of prototypes and their simulation.

Present critical business and financial skills, attitudes, and behaviors that can be depicted through the analysis of Computer Science and the data it presents to help students develop an entrepreneurial mindset

BSCS08: Communicate effectively with the computing community and with society at large about complex computing activities through logical writing, presentations, and clear instructions in both English and Filipino.

BSCS08.3 Comprehend reports and other documentations

BSCS08.4 Write documentations (including design documentations) completely and comprehensively, with appropriate tone, correct grammar and construction, adapting to documentation standards, to communicate ideas, choices, assumptions, and consequences of decisions

BSCS08.7 Negotiate with one or more collaborators to advance an oral argument or articulate an approach to resolving issues

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CO2 Demonstrate ability of learners to assess emerging trends in the field of computer science through seminars, workshops or training conducted by knowledgeable resource persons.

BSCS10: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional

BSCS10.3 Engage independently in developmental activities (like participating in professional organizations, attendance to seminars and training) as a result of recognizing the need to further and continuously develop one’s competencies as a computing professional

Learning Evidence

As proof of achievement of the above-mentioned outcomes, students are required to submit the following:

LE1: Seminar/Workshop Consolidated Narrative Report

During the middle of the final period, each group of the class will invite a resource speaker to conduct seminar/workshop or training regarding the current Computer Science trends applied in the industry. The narrative assessment report will require students to conclude the student’s current skill-level against the skills needed by the industry. And it will require the student’s feedback, evaluation and learning’s from series of

seminar/workshop/training, conducted by an expert resource person working in the industry.

CO1, CO2

Measurement System

To assess the level of performance in the learning evidences, the following rubrics will be used:

Focus : The clarity with which a paper presents and maintains a clear main idea, point of view, unifying event or theme.

Support/Elaboration: The degree to which the main point or event is elaborated and explained by specific details, descriptions, and reactions

Organization: The clarity of the logical flow of ideas Conventions: Use of standard written English

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FEATURES 6 5 4 3 2 1

FOCUS •Subject and unifying event clear and

maintained

•Theme/unif ying theme explicitly stated

•Reactions present throughout

•Has effective closing

•Subject and unifying event clear and

maintained

•Theme/unif ying event is stated in opening or conclusion

•Reactions present throughout (may not be even)

•Has closing

•Subject and unifying event are clear - may be prompt dependent (requiring reader inference)

•Theme/unify ing event is stated and/or summarized

•Reactions present

•May end abruptly

•Subject/topic clear;

theme/unifying event may not

•Reader is able to infer theme/unifying even

•Overpromise/under deliver OR

underpromise/overd eliver

•No reactions Abrupt ending

•Lacks sufficiency to demonstrate a developed focus

Subject/issu e vague

•Reader must infer main event and theme

•Unrelated ideas or major drift from focus (brainstormi ng)

•May be insufficient writing to determine that subject and unifying event can be

maintained

•Subject and issue unclear, limited or confusing

•Insufficient writing to show criteria are met

ELABORATION

•Most episodes and reactions elaborated with specific detail

•Some episodes may be developed with more

•Some episodes or reactions elaborated with specific details

•Contains minimal depth

•May

contain list of episodes/ev ents and/or reactions with some extensions

•Most elaboration may be general

•May contain simple list of episodes and/or reactions with no extensions

•Mostly general or underdeveloped

•Lacks sufficiency to demonstrate

developed elaboration

•Some attempt at elaboration

•May be confusing, unclear, or repetitive

•May be insufficient writing to determine that

•Elaboratio n is absent, confusing, or

repetitive

•Insufficient writing to show that criteria are met

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detail than others (not necessarily balanced or even)

•Some development of depth

elaboration can be maintained.

ORGANIZATION •Narrative structure clear-

sequence of episodes moves logically through time without noticeable gaps

•Episodes appropriately paragraphed

•Narrative structure is evident – sequence of episodes moves logically through time with a beginning, middle and ending with few gaps

•Most paragraphin g is

appropriate

•Most transitions are

appropriate

•Narrative structure is noticeable, but the reader may have to infer it-sequence of episodes moves logically through time with some gaps

•Some appropriate paragraphin g

•If present, transitions may be simplistic or even

redundant

•Structure is attempted, but reader may still have to infer

•Lacks appropriate narrative structure (off-mode)

•May have a major lapse or

inappropriate transitions that disrupt progression of events

•May have little evidence of appropriate paragraphing

•Limited structure within paragraphs (e.g., lacks

purposeful ordering of sentences)

•Lacks sufficiency to demonstrate

developed organization

•Structure is

attempted, but with little success (may be a random presentatio n of ideas)

•Confusing

•Insufficient writing to determine that

organization can be sustained

•Very confusing/li ttle or no attempt at structure

•Insufficient writing to meet criteria

CONVENTIONS Uses consistent Consistent Maintains Occasional errors Inconsistent Parts of

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agreement between parts of speech. No errors in mechanics.

Creative and effective use of spelling

strategies.

agreement between parts of speech.

Uses correct punctuation, capitalization, etc. Consistent use of spelling strategies.

agreement between parts of speech. Few errors in

mechanics.

Applies basic grade level spelling.

between parts of speech. Some errors in mechanics. Some evidence of spelling strategies.

agreement between parts of speech.

Many errors in mechanics.

Limited evidence of spelling strategies.

speech show lack of agreement.

Frequent errors in mechanics.

Little or no evidence of spelling strategies.

Note: Rubric adopted from http://www.readwritethink.org/files/resources/lesson_images/lesson116/NarrativeRubric.pdf

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Learning Plan:

In order to achieve the outcomes of this course, learners will go through this learning plan.

Intended Learning Outcome

Unit#

(weeks)

Course Outcome

Topic Learning

Activities

Assessment Activity Student Output Be able to get a clearer

picture of what computing science is and what fields belong to it, the

application of the theories and practice made by computer scientists have to the industry and technology as a whole.

Demonstrate the approach to computing science among domains, metascience expression language and its

relationships

Be able to understand and explain computing and its implementation as

algorithms in practice assess how challenges of the computational theories is evolving

Show interactions thru passive computing, influence on active computing, computing actively influencing and

1-5 CO1 Introduction to computing and its Scope

Domains,

Relationships and the Metascience

Expression Language

Implementing

Computing (C/Δ) and Computational

Implementation (Δ/C)

Interaction

Lecture

Discussion Oral Recitation

Individual Activity Collaborati ve Activity

Assignment Seatwork Quiz

Individual and group Activity

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Unit#

(weeks)

Activities

Assessment Activity Student Output bidirectional active

influence.

Explore the

macrostructures and analysis on mixed worlds, pursuing science,

research institutes and academic computing

Relational

Macrostructures and Analyses

6 Prelim

Examination Use computing in great

scientific domains, and the best inventions of the year

Translate hashing and computer search algorithms into popular uses that can be discussed in class

Illustrate pathway modeling and algorithm research in the present strategical plans of industry giants and governments, assess computer programs formulation of prototypes and their simulation.

Apply the use of

7-11 CO1 Computing as a Great Scientific Domain

Hashing and Computer Search Algorithms

Pathway Modeling and Algorithm Research

Lecture

Individual Activity Collaborati ve Activity

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Unit#

(weeks)

Activities

Assessment Activity Student Output computing science in Data

Collection and Storage

Illustrate the use of Virtual Reality through

Computing Science

12 Midterm

Examination Discuss and demonstrate

topics that are well suited for the emerging

technology in Computer Science

Demonstrate ability to find resource speaker that are knowledgeable and skillful on the latest trends in the field of computer science, asking the speaker to give a talk/seminar and help students develop an entrepreneurial mindset

13-17 CO2 Computing Science in Data Collection and Storage

Computing Science in Virtual Reality

Suggested topic for the Resource Speaker working in the industry

 Emerging Programming Languages

 Social Networking

 Mobile Computing

 Connectivity

 E-Business

Lecture

Collaborati ve Activity Individual Activity

LE1

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Unit#

(weeks)

Activities

Assessment Activity Student Output

 Human- Computer Interaction

 Computer- Controlled Infrastructure

 Cloud Computing

 Intelligent Computing

 Web of things

 Data Mining

 Computing Theory in Games

18 Final

Examination

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Course References:

A. Published Materials

 Bates-Brkljac, Nada. Computer Science, Technology and Applications: Virtual Reality. New York, NY, USA: Nova Science Publishers, Inc., 2012. ProQuest ebrary. Web. 11 March 2015.

 Clary, Thomas S., ed. Horizons in Computer Science: Horizons in Computer Science Research. New York, NY, USA:

Nova Science Publishers, Inc., 2012. ProQuest ebrary. Web. 11 March 2015.

 Eiras, Julian R., ed. Computer Science, Technology and Applications: Data Collection and Storage. New York, NY, USA: Nova Science Publishers, Inc., 2011. ProQuest ebrary. Web. 11 March 2015.

 Konheim, Alan G.. Hashing in Computer Science Fifty Years of Slicing and Dicing. Hoboken, NJ, USA: Wiley, 2010.

ProQuest ebrary. Web. 11 March 2015.

 Mastorakis, Nikos E.. Computer Science, Technology and Applications: Pathway Modeling and Algorithm Research.

New York, NY, USA: Nova Science Publishers, Inc., 2011. ProQuest ebrary. Web. 11 March 2015.

 Rosenbloom, Paul S.. On Computing: The Fourth Great Scientific Domain. Cambridge, MA, USA: MIT Press, 2012.

ProQuest ebrary. Web. 12 March 2015.

 Salander, Elisabeth C.. Computer Science, Technology and Applications: Computer Search Algorithms. New York, NY, USA: Nova Science Publishers, Inc., 2011. ProQuest ebrary. Web. 11 March 2015.

B. Web References

 Computer Science Trends - http://www.cstrends.com/?q=toptrends

 Now Publishers-International Press - http://www.nowpublishers.com/tcs

 Association for Computing Machinery - http://www.acm.org/

 Current Trends in Computer Science - http://www.worldscientific.com/worldscibooks/10.1142/5491

 Technology Trends Blog - http://www.futuretimeline.net/blog/computers-internet-blog.htm#.VP_ZxnyUd8E

 Tech Trends for 2014 - http://www.techradar.com/news/world-of-tech/roundup/tech-trends-for-2014-what-s-in-store-this- year--1207235

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Grading System

The final grade in this course will be composed of the following items and their weights in the final grade computation:

Class Standing 70%

Major Exam 30%

FINAL GRADE = Class Standing + Major Exam Transmutation Table:

Minimum Passing Percent Average of Subject : 50

RANGE EQUIVALENTS (COMPUTED AVERAGES & TRANSMUTED VALUES)

Range of Computed Average Range of

Transmuted Values Grade General Classification

94.0000 100.0000 97 100 1.00 Outstanding

88.0000 93.9999 94 96 1.25 Excellent

82.0000 87.9999 91 93 1.50 Superior

76.0000 81.9999 88 90 1.75 Very Good

70.0000 75.9999 85 87 2.00 Good

64.0000 69.9999 82 84 2.25 Satisfactory

58.0000 63.9999 79 81 2.50 Fairly Satisfactory

52.0000 57.9999 76 78 2.75 Fair

50.0000 51.9999 75 3.00 Passed

Below Passing Average 5.00 Failed

Failure due to absences 6.00 FA

Unauthorized Withdrawal 8.00 UW

Officially Dropped 9.00 Dropped