M6 post ncfe similar question
•Download as PPTX, PDF•
0 likes•159 views
This document summarizes how to solve a sample question from the NC Final Exam for Accounting, Finance, and Marketing (AFM) about calculating an investor's expected profit from buying stock. It explains the steps to determine: 1) the expected value per share is $7.52 based on the given probabilities of the stock price rising or falling; 2) the expected profit per share is $1.52 by subtracting the purchase price from the expected value; and 3) multiplying the expected profit per share by the number of shares purchased gives the total expected profit of $2,280.
Report
Share
Report
Share
Recommended
STOCK VALUATION
STOCKS, SHARES, EQUITY SHARES, PREFERENCE SHARES, BONDS, DEBENTURES, STOCK VALUATION, FEATURES OF COMMON STOCK, DETERMINING COMMON STOCK VALUES, EFFECTIVE MARKETS, etc.
Stock Valuation
The presentation slide is on stock valuation. We have tried to present the various techniques to stock valuation under which different methods are discussed with illustrations. Key concepts:
Zero Growth Model
Balance sheet Technique
Constant Growth Model
Two-stage growth Model
Feel Free to comment.
Risk In Capital Budgeting
The document discusses various capital budgeting techniques used to evaluate long-term investment projects. It describes approaches like net present value (NPV), internal rate of return (IRR), profitability index, and payback period. It also discusses risks involved like stand-alone risk, corporate risk, and market risk. Scenario analysis and simulation analysis are presented as methods to incorporate risk analysis into the capital budgeting process.
Dividend Discount Model (DDM) of Stock Valuation
This presentation covers the basics of Dividend Discount Model (DDM). Firstly, fundamental formula for valuing a stock using DDM is discussed. After that, 3 cases i.e DDM for zero growth, constant growth, and variable growth stocks, are discussed.
Basics of stock valuation
The document discusses various models for valuing common stocks, including the dividend discount model, constant growth model, and free cash flow to equity valuation model. It explains that common stock valuation involves estimating future cash flows from dividends and sale proceeds, determining appropriate discount rates, and calculating the present value of the expected cash flows. Parameters like growth rates, holding periods, and terminal values must be estimated to apply these valuation techniques.
Financial functions
The document discusses financial functions in Excel such as PV, RATE, PMT, FV, NPER, PPMT, IPMT, and NPV. It provides the syntax and description of how each function works, including examples of formulas and how to interpret the results. Key inputs for the functions include interest rate, number of periods, payment amounts, present/future values. The functions allow calculating present/future values, interest/principal payments, and number of periods for loans and investments.
Black Scholes
The document summarizes key concepts related to the Black-Scholes partial differential equation. It introduces Black-Scholes, which revolutionized finance by finding the fair price of derivatives. The formula was derived from the heat equation and allowed investors to earn maximum profits without risk. It discusses the variables in the Black-Scholes equation like stock price, exercise price, volatility and risk-free rate. An example valuation of a call and put option is shown. The document also covers fundamental concepts like interest rates, probability, expected value, and continuous random variables.
Recommended
STOCK VALUATION
STOCKS, SHARES, EQUITY SHARES, PREFERENCE SHARES, BONDS, DEBENTURES, STOCK VALUATION, FEATURES OF COMMON STOCK, DETERMINING COMMON STOCK VALUES, EFFECTIVE MARKETS, etc.
Stock Valuation
The presentation slide is on stock valuation. We have tried to present the various techniques to stock valuation under which different methods are discussed with illustrations. Key concepts:
Zero Growth Model
Balance sheet Technique
Constant Growth Model
Two-stage growth Model
Feel Free to comment.
Risk In Capital Budgeting
The document discusses various capital budgeting techniques used to evaluate long-term investment projects. It describes approaches like net present value (NPV), internal rate of return (IRR), profitability index, and payback period. It also discusses risks involved like stand-alone risk, corporate risk, and market risk. Scenario analysis and simulation analysis are presented as methods to incorporate risk analysis into the capital budgeting process.
Dividend Discount Model (DDM) of Stock Valuation
This presentation covers the basics of Dividend Discount Model (DDM). Firstly, fundamental formula for valuing a stock using DDM is discussed. After that, 3 cases i.e DDM for zero growth, constant growth, and variable growth stocks, are discussed.
Basics of stock valuation
The document discusses various models for valuing common stocks, including the dividend discount model, constant growth model, and free cash flow to equity valuation model. It explains that common stock valuation involves estimating future cash flows from dividends and sale proceeds, determining appropriate discount rates, and calculating the present value of the expected cash flows. Parameters like growth rates, holding periods, and terminal values must be estimated to apply these valuation techniques.
Financial functions
The document discusses financial functions in Excel such as PV, RATE, PMT, FV, NPER, PPMT, IPMT, and NPV. It provides the syntax and description of how each function works, including examples of formulas and how to interpret the results. Key inputs for the functions include interest rate, number of periods, payment amounts, present/future values. The functions allow calculating present/future values, interest/principal payments, and number of periods for loans and investments.
Black Scholes
The document summarizes key concepts related to the Black-Scholes partial differential equation. It introduces Black-Scholes, which revolutionized finance by finding the fair price of derivatives. The formula was derived from the heat equation and allowed investors to earn maximum profits without risk. It discusses the variables in the Black-Scholes equation like stock price, exercise price, volatility and risk-free rate. An example valuation of a call and put option is shown. The document also covers fundamental concepts like interest rates, probability, expected value, and continuous random variables.
Time Value of Money
This chapter discusses the time value of money, which refers to the concept that money available now is worth more than the same amount in the future due to its potential to earn interest. It defines key terms like simple vs compound interest and compounding vs discounting. It provides formulas to calculate future and present value for single amounts, annuities, and perpetuities. It also discusses how to determine interest rates and explains compounding more frequently than annually.
Engineering Economy : Decisions-Recognizing-Risks
Decision Recognizing Risk_Engineering Economy Topic 5
Time value of money
This document discusses the time value of money and various time value of money concepts. It begins by explaining that money has time value because it can earn interest over time and because purchasing power changes with inflation over time. It then discusses the role of time value in finance decisions and provides examples comparing cash flows received at different points in time. The document reviews concepts of future value, present value, interest, compounding, discounting, and provides examples of calculations for these topics. It also covers annuities, the difference between ordinary and due annuities, and calculations for future and present value of annuities.
Statergy mgmt
The document discusses strategies for implementing risk management in organizations. It covers developing incentives consistent with risk-taking, decentralization and the risk of over-conservatism, evaluating risk attitudes through utility functions, and establishing appropriate incentives through alternative personnel evaluation plans that separate outcomes from decisions.
CABT SHS Statistics & Probability - Expected Value and Variance of Discrete P...
CABT SHS Statistics & Probability - Expected Value and Variance of Discrete P...Gilbert Joseph Abueg
This document discusses key concepts about finding the mean and variance of discrete probability distributions. It defines that the mean of a random variable X is equal to the sum of the products of each possible value of X and its corresponding probability. The variance is the weighted average of the squared differences between each value and the mean. Several examples are provided to demonstrate calculating the mean, variance, and standard deviation of distributions.Brealey. myers. allen chapter 21 test
This document contains 20 multiple choice questions regarding options valuation. The questions cover key concepts like option deltas, replicating portfolios, binomial option pricing, and the Black-Scholes model. Correct answers are provided for each question along with short explanations of the solutions. Overall, the document serves as a review of important topics in options valuation and provides sample questions and answers to test understanding of these concepts.
Brealey. myers. allen chapter 21 test
This document contains 25 multiple choice questions about valuing options from Chapter 21 of Principles of Corporate Finance by Brealey, Myers, and Allen. The questions cover key concepts related to option pricing including the Black-Scholes model, binomial option pricing model, option Greeks such as delta, and replicating portfolios. Sample calculations are provided for many of the questions.
Risk and Return of Portfolio- Canvas.pptx
mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm
Risk return & lec5
Risk and return, beta, risk diversification, risk averse, risk tolerance, individual risk and market risk
Dias Da Cruz Steve - Seminar
This document discusses strategically equivalent contests in game theory. It introduces proportional contests, where players compete for a share of a prize based on their effort levels, and lottery contests, where players' efforts determine their probability of winning the entire prize. For risk-neutral players, proportional and lottery contests are strategically equivalent. The document derives differential equations whose solutions represent the Nash equilibrium effort levels for risk-averse players in proportional and lottery contests. It aims to determine the conditions under which both contest types are strategically equivalent for risk-averse players.
M3 l1 sequences & series
The document discusses sequences and series. It defines explicit and recursive sequences, and provides examples of finding terms of each type of sequence. It also defines finite and infinite series, and explains how to determine whether a series converges or diverges based on whether the sum of the terms approaches a finite number. Examples are provided of identifying whether series are finite or infinite, and determining if they converge or diverge. Summation notation is introduced as a way to write series mathematically. Overall, the document provides an introduction to key concepts about sequences and series.
M8L7
The document provides instructions on how to calculate measures of central tendency using a calculator. It includes examples of finding the mean, median, mode, standard deviation, and quartiles for a data set of student heights. It also demonstrates using the empirical rule to calculate what percentage of data falls within certain ranges from the mean for a normally distributed data set on holiday spending. Finally, it reviews different graphical representations that can be used for data like stem-and-leaf plots, box plots, histograms, and bar graphs.
M8L3 ~ M3 review
A sequence is an ordered list of numbers. Sequences can be arithmetic, geometric, or neither. The explicit formula for an arithmetic sequence is found by determining the common difference between terms, while the explicit formula for a geometric sequence is found by determining the common ratio between terms by dividing subsequent terms. Whether an infinite series converges, approaching a finite number, or diverges, not converging and potentially reaching infinity, depends on whether it is geometric and if the ratio is between zero and one.
M4L2 log fun
This document discusses rewriting logarithmic expressions in exponential form and vice versa. It notes that logs and exponentials are inverses, so they can undo each other. When solving equations, it is often helpful to rewrite the problem in the opposite form. As an example, it shows that the log base 5 of 125 is 3, and 53 = 125. In conclusion, if b represents the number of a's being multiplied and c is raised by 1, then one more a must be multiplied by b.
M3L2
This document discusses arithmetic sequences and series. It provides 4 example sequences and walks through finding the common difference, writing the explicit formula, and calculating specific terms like the 13th term. It also introduces the formula for finding the sum of the first n terms of a series. Key steps covered include subtracting consecutive terms to find the common difference, writing the explicit formula using the first term and common difference, and using the formula for the partial sum to add the first 13 terms instead of individually.
M12L4 Review
This document discusses hypothesis testing and provides examples. It explains that hypothesis testing allows determining if there is bias or if results are due to chance. The null hypothesis assumes no difference or effect. Data is then analyzed to see if it contradicts the null hypothesis. If a statistic is more than 1.96 standard deviations from the mean, the null hypothesis can be rejected, meaning the results are unlikely due to chance. Two examples applying these concepts to analyze claims are also provided.
M2L6 Transformations of Functions
The document discusses transformations of parent functions through various parameters. It introduces common parent functions and explains how changing parameters like a, h, and k transform the functions in different ways. The a parameter vertically stretches or shrinks functions, h shifts functions left or right along the x-axis, and k shifts functions up or down along the y-axis. Less common transformations include reflecting over the y-axis or horizontally stretching and shrinking using other parameters. Examples are provided to demonstrate combining multiple transformations on functions.
M6L5 Solving Exponentials using Logs
This document provides examples of using logarithms to solve exponential equations where the bases cannot be easily rewritten as the same base to a power. It demonstrates taking the logarithm of both sides to isolate the variable, and explains that the power property allows the exponential term to be pulled out in front of the logarithm. It emphasizes that the algebraic solution can be checked by graphing both sides of the original equation. Resources for additional examples are also provided.
Linear Programming M1L6
Shana works at a flower shop on weekends and needs to sell a minimum of 5 dozen roses but no more than 20 dozen, and at least 1 dozen carnations but no more than 10 dozen. With a maximum shipment of 24 dozen flowers total, the objective is to determine the combination of rose and carnation sales that will maximize profit. By defining variables and constraints in a linear programming model, the optimal solution is found to be selling 20 dozen roses and 4 dozen carnations, yielding the highest possible profit of $560.
Geometric sequences
This document discusses geometric sequences, which are sequences where each term is found by multiplying the preceding term by a constant ratio. It provides the recursive and explicit forms for writing geometric sequences, and gives examples of finding specific terms and writing the explicit formula given the first term and ratio. Key details include that the recursive form is an+1 = ar, and the explicit form is an = arn-1, where a is the first term and r is the common ratio.
Graphing inequalities
This document discusses how to graph inequalities involving vertical and horizontal lines. It explains that an equation like x=2 graphs as a vertical line where all x values are equal to 2. Inequalities like x≥2 graph the line first and then shade the area indicated by the inequality. Similarly, an equation like y=0 graphs as a horizontal line, and inequalities like y≤0 graph the line and shade the appropriate area. The document also notes that ≤ and ≥ use a solid line when graphing, while > and < use a dotted line. It provides an example of writing a system of inequalities for a solution involving different bounds for x and y values.
More Related Content
Similar to M6 post ncfe similar question
Time Value of Money
This chapter discusses the time value of money, which refers to the concept that money available now is worth more than the same amount in the future due to its potential to earn interest. It defines key terms like simple vs compound interest and compounding vs discounting. It provides formulas to calculate future and present value for single amounts, annuities, and perpetuities. It also discusses how to determine interest rates and explains compounding more frequently than annually.
Engineering Economy : Decisions-Recognizing-Risks
Decision Recognizing Risk_Engineering Economy Topic 5
Time value of money
This document discusses the time value of money and various time value of money concepts. It begins by explaining that money has time value because it can earn interest over time and because purchasing power changes with inflation over time. It then discusses the role of time value in finance decisions and provides examples comparing cash flows received at different points in time. The document reviews concepts of future value, present value, interest, compounding, discounting, and provides examples of calculations for these topics. It also covers annuities, the difference between ordinary and due annuities, and calculations for future and present value of annuities.
Statergy mgmt
The document discusses strategies for implementing risk management in organizations. It covers developing incentives consistent with risk-taking, decentralization and the risk of over-conservatism, evaluating risk attitudes through utility functions, and establishing appropriate incentives through alternative personnel evaluation plans that separate outcomes from decisions.
CABT SHS Statistics & Probability - Expected Value and Variance of Discrete P...
CABT SHS Statistics & Probability - Expected Value and Variance of Discrete P...Gilbert Joseph Abueg
This document discusses key concepts about finding the mean and variance of discrete probability distributions. It defines that the mean of a random variable X is equal to the sum of the products of each possible value of X and its corresponding probability. The variance is the weighted average of the squared differences between each value and the mean. Several examples are provided to demonstrate calculating the mean, variance, and standard deviation of distributions.Brealey. myers. allen chapter 21 test
This document contains 20 multiple choice questions regarding options valuation. The questions cover key concepts like option deltas, replicating portfolios, binomial option pricing, and the Black-Scholes model. Correct answers are provided for each question along with short explanations of the solutions. Overall, the document serves as a review of important topics in options valuation and provides sample questions and answers to test understanding of these concepts.
Brealey. myers. allen chapter 21 test
This document contains 25 multiple choice questions about valuing options from Chapter 21 of Principles of Corporate Finance by Brealey, Myers, and Allen. The questions cover key concepts related to option pricing including the Black-Scholes model, binomial option pricing model, option Greeks such as delta, and replicating portfolios. Sample calculations are provided for many of the questions.
Risk and Return of Portfolio- Canvas.pptx
mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm
Risk return & lec5
Risk and return, beta, risk diversification, risk averse, risk tolerance, individual risk and market risk
Dias Da Cruz Steve - Seminar
This document discusses strategically equivalent contests in game theory. It introduces proportional contests, where players compete for a share of a prize based on their effort levels, and lottery contests, where players' efforts determine their probability of winning the entire prize. For risk-neutral players, proportional and lottery contests are strategically equivalent. The document derives differential equations whose solutions represent the Nash equilibrium effort levels for risk-averse players in proportional and lottery contests. It aims to determine the conditions under which both contest types are strategically equivalent for risk-averse players.
Similar to M6 post ncfe similar question (10)
CABT SHS Statistics & Probability - Expected Value and Variance of Discrete P...
CABT SHS Statistics & Probability - Expected Value and Variance of Discrete P...
More from mooca76
M3 l1 sequences & series
The document discusses sequences and series. It defines explicit and recursive sequences, and provides examples of finding terms of each type of sequence. It also defines finite and infinite series, and explains how to determine whether a series converges or diverges based on whether the sum of the terms approaches a finite number. Examples are provided of identifying whether series are finite or infinite, and determining if they converge or diverge. Summation notation is introduced as a way to write series mathematically. Overall, the document provides an introduction to key concepts about sequences and series.
M8L7
The document provides instructions on how to calculate measures of central tendency using a calculator. It includes examples of finding the mean, median, mode, standard deviation, and quartiles for a data set of student heights. It also demonstrates using the empirical rule to calculate what percentage of data falls within certain ranges from the mean for a normally distributed data set on holiday spending. Finally, it reviews different graphical representations that can be used for data like stem-and-leaf plots, box plots, histograms, and bar graphs.
M8L3 ~ M3 review
A sequence is an ordered list of numbers. Sequences can be arithmetic, geometric, or neither. The explicit formula for an arithmetic sequence is found by determining the common difference between terms, while the explicit formula for a geometric sequence is found by determining the common ratio between terms by dividing subsequent terms. Whether an infinite series converges, approaching a finite number, or diverges, not converging and potentially reaching infinity, depends on whether it is geometric and if the ratio is between zero and one.
M4L2 log fun
This document discusses rewriting logarithmic expressions in exponential form and vice versa. It notes that logs and exponentials are inverses, so they can undo each other. When solving equations, it is often helpful to rewrite the problem in the opposite form. As an example, it shows that the log base 5 of 125 is 3, and 53 = 125. In conclusion, if b represents the number of a's being multiplied and c is raised by 1, then one more a must be multiplied by b.
M3L2
This document discusses arithmetic sequences and series. It provides 4 example sequences and walks through finding the common difference, writing the explicit formula, and calculating specific terms like the 13th term. It also introduces the formula for finding the sum of the first n terms of a series. Key steps covered include subtracting consecutive terms to find the common difference, writing the explicit formula using the first term and common difference, and using the formula for the partial sum to add the first 13 terms instead of individually.
M12L4 Review
This document discusses hypothesis testing and provides examples. It explains that hypothesis testing allows determining if there is bias or if results are due to chance. The null hypothesis assumes no difference or effect. Data is then analyzed to see if it contradicts the null hypothesis. If a statistic is more than 1.96 standard deviations from the mean, the null hypothesis can be rejected, meaning the results are unlikely due to chance. Two examples applying these concepts to analyze claims are also provided.
M2L6 Transformations of Functions
The document discusses transformations of parent functions through various parameters. It introduces common parent functions and explains how changing parameters like a, h, and k transform the functions in different ways. The a parameter vertically stretches or shrinks functions, h shifts functions left or right along the x-axis, and k shifts functions up or down along the y-axis. Less common transformations include reflecting over the y-axis or horizontally stretching and shrinking using other parameters. Examples are provided to demonstrate combining multiple transformations on functions.
M6L5 Solving Exponentials using Logs
This document provides examples of using logarithms to solve exponential equations where the bases cannot be easily rewritten as the same base to a power. It demonstrates taking the logarithm of both sides to isolate the variable, and explains that the power property allows the exponential term to be pulled out in front of the logarithm. It emphasizes that the algebraic solution can be checked by graphing both sides of the original equation. Resources for additional examples are also provided.
Linear Programming M1L6
Shana works at a flower shop on weekends and needs to sell a minimum of 5 dozen roses but no more than 20 dozen, and at least 1 dozen carnations but no more than 10 dozen. With a maximum shipment of 24 dozen flowers total, the objective is to determine the combination of rose and carnation sales that will maximize profit. By defining variables and constraints in a linear programming model, the optimal solution is found to be selling 20 dozen roses and 4 dozen carnations, yielding the highest possible profit of $560.
Geometric sequences
This document discusses geometric sequences, which are sequences where each term is found by multiplying the preceding term by a constant ratio. It provides the recursive and explicit forms for writing geometric sequences, and gives examples of finding specific terms and writing the explicit formula given the first term and ratio. Key details include that the recursive form is an+1 = ar, and the explicit form is an = arn-1, where a is the first term and r is the common ratio.
Graphing inequalities
This document discusses how to graph inequalities involving vertical and horizontal lines. It explains that an equation like x=2 graphs as a vertical line where all x values are equal to 2. Inequalities like x≥2 graph the line first and then shade the area indicated by the inequality. Similarly, an equation like y=0 graphs as a horizontal line, and inequalities like y≤0 graph the line and shade the appropriate area. The document also notes that ≤ and ≥ use a solid line when graphing, while > and < use a dotted line. It provides an example of writing a system of inequalities for a solution involving different bounds for x and y values.
Applying systems of equations
This document presents a word problem involving two schools taking field trips to the state fair and renting different numbers of vans and buses. It then sets up two equations to represent the number of students in each vehicle type for each school. The document explains how to solve this system of equations using four different methods: tables, substitution, graphing, and elimination. All four methods arrive at the same solution - that each van held 8 students and each bus held 22 students.
Solving Quadratics by Graphing
This document discusses solving quadratic equations by graphing. It defines the terms of a quadratic equation and explains that the solutions are the x-intercepts where the graph crosses the x-axis. A quadratic equation will have 0, 1, or 2 real solutions. The graph of a quadratic equation is a parabola with an axis of symmetry. The vertex is the maximum or minimum point, and it can be found using the formula. Graphing involves finding the axis of symmetry, vertex, and using a table to plot additional points to draw the smooth curve.
Graphing Quadratic Functions
Quadratic functions are modeled by the equation y = ax^2 + bx + c, where a ≠ 0. They produce U-shaped parabolic graphs. Many real-world phenomena follow quadratic patterns, like water in a fountain or a basketball's trajectory. The lowest or highest point on a parabola is the vertex. To graph a quadratic function in standard form, you first find the vertex by calculating -b/2a, then plot the axis of symmetry and other points to sketch the parabolic curve.
Exponential growth & decay
This document reviews compound interest concepts, including how to calculate growth and decay factors from percentages and how to use the growth factor in an exponential growth formula. It provides an example of calculating the future value of $235 invested at 7.5% annual interest compounded yearly over 8 years, which equals $419.12.
Rational exponents and radicals
Rational exponents are exponents that are ratios or fractions. There are three different ways to write a rational exponent: as a ratio of exponents, as a root of a root, and with a variable exponent. Rational exponents can be rewritten between exponential and radical forms. They follow the standard exponent rules when simplifying expressions, distributing exponents over division and applying negative exponent rules.
More from mooca76 (17)
Properties of addition & multiplication announcement
Properties of addition & multiplication announcement
Recently uploaded
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Your Skill Boost Masterclass: Strategies for Effective UpskillingExcellence Foundation for South Sudan
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.PCOS corelations and management through Ayurveda.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
A Strategic Approach: GenAI in Education
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...National Information Standards Organization (NISO)
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.Types of Herbal Cosmetics its standardization.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
Main Java[All of the Base Concepts}.docx
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
CACJapan - GROUP Presentation 1- Wk 4.pdf
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
clinical examination of hip joint (1).pdf
described clinical examination all orthopeadic conditions .
How to Manage Your Lost Opportunities in Odoo 17 CRM
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS Template 2023-2024 by: Irene S. Rueco
How to Build a Module in Odoo 17 Using the Scaffold Method
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
The History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
Recently uploaded (20)
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
M6 post ncfe similar question
- 1. M6 Postassessment & NCFE question review By M Willatt
- 2. The question below is from a released version of the NC Final Exam for AFM. You may also see a question like this on the M6Post. An investor bought 1,500 shares of a stock for $6 a share. He estimates the probability that the stock will rise to a value of $25 a share is 24%, and the probability it will fall to $2 a share is 76%. What is the expected value of the investor’s profit from buying the stock?
- 3. To start off, let’s find the expected value E(X) per share based on his projections: Remember E(X) = x*P(x) + x*P(x) E(X) = 25*0.24 + 2*0.76 = 7.52 x outcome) P(x) (probability) 25 0.24 2 0.76 STEP 1
- 4. Therefore, he expects each share to be worth $7.52 over time. Since the investor paid $6 each, that would be a net profit of $1.52 per share. E(X) – cost = 7.52 – 6.00 = 1.52 STEP 2
- 5. STEP 3 If the net value is $1.52 per share and he bought 1,500 of them, we need to multiply to find the expected value of his overall profit. $1.52 * 1500 = $2,280 Therefore, if his projections are correct, he should make $2280 off of his investment.
- 6. ATTRIBUTIONS • Released NCFE question 18 from: www.ncpublicschools.org/docs/accountability/testing/release dforms/afmreleased15.pdf • Stock image by geralt on pixabay.com via CC0