DATABASE FOR SCHEDULING Joshua Crisp Prof. Raman Marwah CIS210 11/25/2012 There are many advantages of creating a database for scheduling purposes. Having a database will allow trainers to see what courses they have coming up and their supervisors will also see what their workload is. Being part of a corporation that is expanding needs to be able to adapt to changes and having a database for scheduling will help. First we will have to look at what is needed to create a scheduling database
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STATE ELIGIBILITY TEST COMPUTER SCIENCE AND APPLICATIONS (SYLLABUS) SUBJECT CODE : 28 PAPER-II 1. Discrete Structures Sets‚ Relations‚ Functions‚ Pigeonhole Principle‚ Inclusion-Exclusion Principle‚ Equivalence and Partial Orderings‚ Elementary Counting Techniques‚ Probability. Measure(s) for information and Mutual information. Computability: Models of computation-Finite Automata‚ Pushdown Automata‚ Non-determinism and NFA‚ DPDA and PDAs and Languages accepted by these structures
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i JOB SCHEDULING IN NON-MULTIPROGRAMMING ENVIRONMENT Average turn around time computation T=n=0nTix 1n Where: Ti= Fi- Ai * Fi= Finish Time * Ai= Arrival Time * n = no. of jobs Fi= ST+ RT * ST= Start Time * RT= Run Time WTAT= TATACTUAL RUNTIME * WTAT= Weighted turn around time * TAT= Fi- Ai EXAMPLE # 1: FIFO JOB | ARRIVAL TIME | RUN TIME | 1 | 10.00 | 2.00 | 2 | 10.10 | 1
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APRIORI Algorithm Professor Anita Wasilewska Lecture Notes The Apriori Algorithm: Basics The Apriori Algorithm is an influential algorithm for mining frequent itemsets for boolean association rules. Key Concepts : • Frequent Itemsets: The sets of item which has minimum support (denoted by Li for ith-Itemset). • Apriori Property: Any subset of frequent itemset must be frequent. • Join Operation: To find Lk ‚ a set of candidate k-itemsets is generated by joining Lk-1 with itself. The Apriori
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Project Time Management: Network scheduling techniques 1 Plan for today Feedback Recap of last lecture Network scheduling techniques 2 Feedback on Tutorials‚ Lectures‚ Groups Access to project scheduling software Project scheduling software demonstration? Some changes to lecture schedule Where are you up to - group work? Contacting me – Use LMS Blackboard 3 Recap of Last Lecture WBS What is WBS? Various forms of WBS How to develop a
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Lab Report for Computer Assignment #2 GPS Algorithm Introduction In order to guide each object correctly on the earth‚ the GPS satellites need to locate them very accurately. The goal of the assignment is to use some optimization methods to locate an object with given pseudo-range data. The signals which are sent from satellites to the target are not accurate because the systematic errors caused by inaccurate receiver clock and some other random noise. The un-accurate range is known as pseudo-range
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more about the importance of prioritizing and scheduling. Upon reflecting on how well the members of my group worked together‚ I would rate the level of team work a 4 (fair) on a scale ranging from 1 (I’m mad) to 5 (excellent). Overall‚ the group worked well together. We all had similar ideas for what we wanted to do for the next step in getting additional support for occupational therapists. However‚ there was some friction among members due to scheduling. While some members tried to be as flexible
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Credits Semester – III S.No. Course Code 12 13 14 15 16 17 COMP 731 COMP 732 COMP 733 COMP 736 COMP 837 BAM 796 Semester – IV S.No. Course Code 18 COMP 842 19 COMP 843 20 COMP 852 21 MAS 721 22 BAM 864 23 COMP 799 Course Name Design & Analysis of Algorithms Computer Networks Database Management Systems Object Modeling Techniques and UML Compiler Design Accounting and Finance Management Total Credits Course Name Data Warehousing & Mining Artificial Intelligence and Expert Systems Advanced Java Programming
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(Muyldermans et al.‚ 2002)‚ school bus scheduling (Bektas et al. 2007)‚ and winter snow removing routes(Mourão et al.2009; Campbell et al. 2000) et al. For these reasons‚ CARP has attracted widespread attention. However‚ the complexity of the CARP leads to the high discrete of the
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Programming Fundamentals CSHT-102 Discrete Structures Digital Electronics Calculus and Matrices CSHT-203 Data Structures Semester – II CSHT-204 computer Systems Architecture English Calculus and Geometry using C++ Semeser – III CSHT-305 Algorithms CSHT-306 Systems Programmin g CSHT-307 File Structures and Database Basic Probability and Statistics Semester – IV CSHT-408 Operating Systems CSHT-409 Data Communica tion and Computer CSHT-410 Software Engineering Real Analysis / Differential
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