2013-4-10 · Lecture Slides. For the slides of this course we will use slides and material from other courses and books. We thank in advance: Tan, Steinbach and Kumar, Anand Rajaraman and Jeff Ullman, Evimaria Terzi, for the material of their slides that we have used in this course. Lecture 1 : Introduction to Data Mining ( ppt, pdf)

CS345A: Data Mining

2010-5-25 · Slides from the lectures will be made available in PPT and PDF formats. Students will use the Gradiance automated homework system for which a fee will be charged. Note: if you already have Gradiance (GOAL) privileges from CS145 or CS245 within the past year, you should also have access to the CS345A homework without paying an additional fee ...

Mining of Massive Datasets

2020-1-22 · CS246. CS246: Mining Massive Datasets is graduate level course that discusses data mining and machine learning algorithms for analyzing very large amounts of data. The emphasis is on Map Reduce as a tool for creating parallel algorithms that can process very large amounts of data.

Lecture Notes for Chapter 3 Introduction to Data Mining

2007-3-9 · © Tan,Steinbach, Kumar Introduction to Data Mining 8/05/2005 1 Data Mining: Exploring Data Lecture Notes for Chapter 3

EE364b: Lecture Slides and Notes

2021-6-2 · EE364b: Lecture Slides and Notes. These slides and notes will change and get updated throughout the quarter. Please check this page frequently. Unlike EE364a, where the lectures proceed linearly, the lectures for EE364b fall into natural groups, and there is much more freedom as to the order in which they are covered.

Lecture Notes | Data Mining | Sloan School of Management ...

19  · 2020-12-30 · Lecture Notes. Table 11.1 from page 584 of: Johnson, Richard, …

Lecture 1: Introduction – Uncertainty & Design

2018-5-15 · Text Book – The textbook (optional) to be used for this course is: "Engineering Rock Mechanics - An Introduction to the Principles " by J.A. Hudson and J.P. Harrison, Elsevier Science: Oxford, 1997. Lecture Notes – PDF''s of these Powerpoint slides will be made available for download via the course web page.


COMPLETE LECTURE NOTES ON ROCK MECHANICS FOR BEGINNERS. Rock Mechanics and Rock Engineering x f Overview Rock mechanics is the theoretical and applied science of the mechanical behaviour of rock and rock masses. Rock mechanics deals with the mechanical properties of rock and the related methodologies required for engineering design.


2017-10-27 · knowledge mining which emphasis on mining from large amounts of data. It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.

Rock Blasting Fundamentals Course Review Notes

2012-5-20 · PDHonline Rock Blasting Fundamentals Slide No. 23 Rock Blasting Basics zThe burden distance, B, (as illustrated on Slide No. 22 is the most critical dimension in the blast design. zThe burden distance is the shortest distance to stress relief at the time of the blast detonation. zIt is generally the distance to the free face of an

What is Engineering? Presentation

2012-7-2 · ENGINEERING IS… According to Wikipedia, "Engineering is the science, skill, and profession of acquiring and applying scientific, economic, social, and practical knowledge, in order to design and also build structures, machines, devices, systems, …

Computer Science Engineering Lecture Notes-All Semester ...

2  · Engineering & Science/ Agriculture/ Medical Lecture Notes & ebooks PDF Click here to Free Download Fresher Jobs & Off-Campus/ Projects/GRE/TOEFL/ Lecture Notes PDF

EE637: Course Handouts and Notes

2017-4-20 · 2-D Neighborhoods and Edge Detection. Second Derivative Edge Detectors. Connected Components. Segmentation and Region Merging. Image Perception, Representation, and Color. Color constancy illusions. A really cool example of the cultural invariance of color. Visual Perception, Contrast, Gamma, and MTF. The Tristimulus Model of Color.

Methods of Note taking

2021-3-9 · Taking notes on lecture ppt slides. If the slides for a lecture are available beforehand (eg posted on your course Blackboard site), you can print the slides in a format that suits your note taking purposes. There are options in Power Point to print multiple slides on a page, from one slide …


2013-4-6 · 2. MINING Mining is the extraction of valuable minerals or other geological materials from the earth from anorebody, lode, vein, seam, or reef, which forms the mineralized package of economic interest to the miner. 3. MINING WASTE AND MATERIAL In mining …

CS 490D: Introduction to Data Mining

2004-5-6 · Course Topics ( jump to outline) This course will be an introduction to data mining. Topics will range from statistics to machine learning to database, with a focus on analysis of large data sets. Expect at least one project involving real data, that you will be the first to apply data mining techniques to.

CS345 Lecture Notes

2010-5-30 · CS345 --- Lecture Notes Below are notes and slides from courses I have given over the years covering various aspects of database theory, including logic, information integration, and data mining. Web Mining For several years, I have cotaught a course on Web Mining with Anand Rajaraman. You can find the sets of slides we used at The Data-Mining ...

Stanford CS345A: Data Mining

Note: if you already have Gradiance (GOAL) privileges from CS145 or CS245 within the past year, you should also have access to the CS345A homework without paying an additional fee. Notes and/or slides will be posted on-line.


2011-8-5 · Operations Management Course description: This operations management course is intended to be a survey of the operating practices and procedures found in both manufacturing and service delivery firms.We will focus our attention on those business processes and procedures used to transform inputs into finished goods and services.

Lecture Notes

2012-5-30 · For those that want the lecture slides (usually an abridged version of the notes above), they are provided below in PDF format. • Lecture 1 (Apr 2 - Apr 4): course administration and introduction • Lecture 2 (Apr 4 - Apr 9): single-variable optimization • Lecture 3 (Apr 9 - Apr 18): gradient-based optimization • Lecture 4 (Apr 18 - Apr 25): sensitivity analysis

Software Engineering—Lecture Slides

2017-9-12 · Software Engineering Course Lecture Slides : Dear visitor: The textbook and the accompanying materials posted on this website are freely available for fair use. Permission to reproduce or copy all or parts of this material for non-profit use is granted on the condition that the author and source are credited.

Introduction To Mining Engineering Lecture Notes

1  · Mining Engineering Technology - Diploma Choose from hundreds of free courses or pay to earn a Course or Specialization Certificate. Explore our catalog of online degrees, certificates, Specializations, & MOOCs in data science, computer science, business, health, and

Mining Engineering

Mining Engineering is concerned with the extraction and processing of ores containing valuable minerals or metals. To become a mining engineer, you need a thorough knowledge of general engineering principles, followed by the study of courses specific to mining and mineral processing. These courses are designed to cover a wide and diverse range ...


2017-10-27 · the quantity surveyor, the building surveyor, the mining surveyor and so forth, as well as the land surveyor. • Another school of thought define surveying "as the act of making measurement of the relative position of natural and manmade features on earth''s surface and the presentation of this information either graphically or numerically.

Lecture Notes EECS 40 Introduction to Microelectronic …

2007-1-19 · Note that we have used the "ground" symbol ( ) for the reference node on the DVM. Often it is labeled "C" for "common." Sign Convention Example EE40 Fall Slide 19 2006 Prof. Chang-Hasnain Find vab, vca, vcb Note that the labeling convention has nothing to do with whether or not v is positive or negative. − + − + 2 V −1 V + − ...

NPTEL :: Mining Engineering

2021-5-29 · NPTEL provides E-learning through online Web and Video courses various streams.

Machine Learning and Data Mining Lecture Notes

2012-9-11 · 2. The Software Engineering View. Machine learning allows us to program computers by example, which can be easier than writing code the traditional way. 3. The Stats View. Machine learning is the marriage of computer science and statistics: com-putational techniques are applied to statistical problems. Machine learning has been applied

Free Engineering Google Slides and PowerPoint Templates

Programming Lesson. If you teach programming languages and related issues, download and personalize this template to prepare your lesson. The fonts look computer-like, and it''s very creative. Insert some info about the features of the topic, assignments and …

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