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We need a trophy design for our IT Student of the Year award.
We are a Middle School in South Africa...Africa and each year we award our top IT student - it's a great prize and has some wonderful sponsors behind
Project appraisal done using present worth, Equivalent annual worth and Rate of return formulas. Notes...INVESTMENT APPRAISAL OF A RELEVANT CONSTRUCTION PROJECT/PLANT AND DISCUSS THE RELEVANT FACTORS /CRITERIA...Each student should carry out an economic appraisal of an existing or proposed construction project or
Individual student project investigating an urban planning topic of your choice using mapping and statistics. 50% of the course marks. Chance to explore a topic & study area you are particularly interested in. - open to bidding
1300-1500 words, plus maps/graphs/tables and some literature around topic. Choosing a case study and topic with relevance to urban planning
Formulation of a basic research question to investigate around this topic
Evidence of some background reading and research on this topic (i.e. references)
Ability to identify and download relevant spatial datasets for this topic, and discuss their characterist...
this project help us to change from manual scheduling to website scheduling.
it is easy for the administrator...administrator to post the schedule for the student
the student look their schedule every where they want...instructor see his schedule every where he want
the project also contains exam schedule, boards on where the
Project is for approximately 200 pages of well written and thorough academic writing over a period of...contributions and feedback. This project is mainly for a college or university student with impeccable writing
Create A Machine Learning Model - Based Around Student Retention
Our company Unique Insights helps colleges/universities to improve their retention rates.
We currently have data spanning back the past four years on students, including whether or not they dropped out.
The dataset has 18 columns and around 19,000 rows. We are looking to build a learning model around this, that could be used to predict which students are likely to drop out and why.